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Journal articles on the topic 'BPSK demodulator'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 February 2022

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1

Murtianta, Budihardja. "Sistem Modulator dan Demodulator BPSK dengan Costas Loop." Techné : Jurnal Ilmiah Elektroteknika 14, no. 01 (2015): 17–26. http://dx.doi.org/10.31358/techne.v14i01.120.

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Pada tulisan ini akan dibahas suatu sistem transmisi data berbasis BPSK (Binary Phase Shift Keying) menggunakan Costas Loop pada demodulatornya. Pada prinsipnya Costas Loop adalah bentuk khusus dari PLL yang difungsikan untuk melakukan demodulasi sinyal-sinyal yang termodulasi secara supressed-carrier. Costas Loop menggunakan umpan balik negatif untuk melakukan carrier recovery, kemudian sinyal pembawa yang dihasilkan digunakan untuk melakukan demodulasi sinyal BPSK-nya. Sistem ini terdiri dari modulator dan demodulator BPSK yang menggunakan format Non Return Zero Bipolar. Pada sistem modulator BPSK akan menghasilkan isyarat Ac cos(ωct) untuk menyatakan ”high” dan - Ac cosωct untuk menyatakan ”low” sedang pada sistem demodulator BPSK akan menghasilkan aras ”high” untuk isyarat yang sefasa dan menghasilkan aras ”low” untuk isyarat berbeda fasa 180°.

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2

Sharma, Anshuman, Abdul Hafeez Syed, Midhun M, and M. R. Raghavendra. "Realization of Programmable BPSK Demodulator-Bit Synchronizer using Multirate Processing." International Journal of Reconfigurable and Embedded Systems (IJRES) 3, no. 1 (2014): 18. http://dx.doi.org/10.11591/ijres.v3.i1.pp18-24.

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This paper presents the design and implementation of programmable BPSK demodulator and bit synchronizer. The demodulator is based on the Costas loop design whereas the bit synchronizer is based on Gardner timing error detector. The advantage of this design is that it offers programmability using multi-rate processing and does not rely on computation of filter coefficients, NCO angle input for each specific data rate and thus avoids computational complexities. The algorithm and its application were verified on Matlab-Simulink and were implemented on ALTERA platform. A 32 kHz BPSK demodulator–bit synchronizer pair catering for a data rate from 1kbps to 8kbps was implemented.

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3

Zhenying Luo and S. Sonkusale. "A Novel BPSK Demodulator for Biological Implants." IEEE Transactions on Circuits and Systems I: Regular Papers 55, no. 6 (2008): 1478–84. http://dx.doi.org/10.1109/tcsi.2008.918174.

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4

Murtianta, Budihardja, Deddy Susilo, and Arivia Aurelia Devina P. "Perancangan dan Realisasi Perangkat Keras Demodulator BPSK dengan Costas Loop." Techné : Jurnal Ilmiah Elektroteknika 14, no. 02 (2015): 75–88. http://dx.doi.org/10.31358/techne.v14i02.126.

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Pada tulisan ini akan dirancang dan direalisasikan suatu perangkat demodulator data berbasis BPSK (Binary Phase Shift Keying) menggunakan metode Costas Loop. Costas Loop difungsikan untuk melakukan demodulasi sinyal-sinyal yang termodulasi secara supressed-carrier. Costas Loop menggunakan umpan balik negatif untuk melakukan carrier recovery, kemudian sinyal pembawa yang dihasilkan digunakan untuk melakukan demodulasi sinyal BPSK-nya. Perangkat yang dibuat berupa demodulator BPSK yang menggunakan format Non Return Zero Bipolar dengan frekuensi 10kHz-48kHz. Untuk proses demodulasi BPSK harus dilakukan secara koheren[1]. Deteksi koheren adalah deteksi yang membutuhkan informasi fasa dan frekuensi asli dari sinyal pembawanya secara tepat[2]. Sehingga yang sering menjadi masalah pada deteksi koheren adalah bagaimana mendapatkan informasi tentang frekuensi dan fasa asli sinyal pembawa menggunakan sinyal pembawa yang telah termodulasi fasanya[3], proses ini sering disebut carrier recovery. Pada umumnya terdapat dua metode yang sering digunakan untuk carrier recovery pada deteksi koheren sinyal BPSK, yaitu Squaring Loop dan Costas Loop. Keduanya memiliki noise performance yang hampir sama [1], tapi metode Costas Loop memiliki toleransi yang lebih baik untuk pergeseran isyarat pembawa dan dapat beroperasi untuk lebar pita yang lebih lebar, sehingga lebih sering digunakan dibandingkan dengan Squaring Loop [4].

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5

Liu, Yan, Yue Shen, Li Li, and Hai Wang. "FPGA Implementation of a BPSK 1D-CNN Demodulator." Applied Sciences 8, no. 3 (2018): 441. http://dx.doi.org/10.3390/app8030441.

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6

Hosseinnejad, Mahdi, Abbas Erfanian, and Mohammad Azim Karami. "A fully digital BPSK demodulator for biomedical application." Microelectronics Journal 81 (November 2018): 76–83. http://dx.doi.org/10.1016/j.mejo.2018.09.009.

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7

Nabovati, Ghazal, and Mohammad Maymandi-Nejad. "Ultra-low power BPSK demodulator for bio-implantable chips." IEICE Electronics Express 7, no. 20 (2010): 1592–96. http://dx.doi.org/10.1587/elex.7.1592.

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8

Van der Wal, R., and L. Montreuil. "QPSK and BPSK demodulator chip-set for satellite applications." IEEE Transactions on Consumer Electronics 41, no. 1 (1995): 30–41. http://dx.doi.org/10.1109/30.370307.

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9

Pereira de Lucena, Antonio Macilio, Magno Prudêncio de Almeida Filho, Caio Gomes de Figueredo, Diego Braga Pimentel, Clauson Sales do Nascimento Rios, and Francisco de Assis Tavares Ferreira da Silva. "Fully digital BPSK demodulator for satellite supressed carrier telecommand system." International Journal of Satellite Communications and Networking 35, no. 4 (2016): 359–74. http://dx.doi.org/10.1002/sat.1188.

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10

Liu, Han-Hua, Zhao-Hui Wu, Bin Li, and Ming-Jian Zhao. "A fully digital low-power wide-speed-range BPSK demodulator." International Journal of Electronics Letters 2, no. 3 (2014): 158–65. http://dx.doi.org/10.1080/21681724.2014.894132.

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11

Malik, Hina, D. R. Rotake, and Mamta Mahajan. "Design and Implementation of Bpsk Modulator and Demodulator Using Vhdl." IOSR Journal of Electronics and Communication Engineering 9, no. 3 (2014): 98–105. http://dx.doi.org/10.9790/2834-093498105.

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12

Moon, Seong-Mo, Dong-Hoon Park, Jong-Won Yu, and Moon-Que Lee. "Design of QPSK Demodulator Using CMOS BPSK Receiver and Reflection-Type Phase Shifter." Journal of Korean Institute of Electromagnetic Engineering and Science 20, no. 8 (2009): 770–76. http://dx.doi.org/10.5515/kjkiees.2009.20.8.770.

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13

Yamu Hu and M. Sawan. "A fully integrated low-power BPSK demodulator for implantable medical devices." IEEE Transactions on Circuits and Systems I: Regular Papers 52, no. 12 (2005): 2552–62. http://dx.doi.org/10.1109/tcsi.2005.858163.

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14

Zhang, Min, Zongyan Liu, Li Li, and Hai Wang. "Enhanced Efficiency BPSK Demodulator Based on One-Dimensional Convolutional Neural Network." IEEE Access 6 (2018): 26939–48. http://dx.doi.org/10.1109/access.2018.2834144.

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15

Yen, Chih-Ta, Jen-Fa Huang, and Wen-Zong Zhang. "Hiding Stealth Optical CDMA Signals in Public BPSK Channels for Optical Wireless Communication." Applied Sciences 8, no. 10 (2018): 1731. http://dx.doi.org/10.3390/app8101731.

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A new optical steganography scheme is proposed that transmits a stealth optical code-division multiple-access (OCDMA) signal through a public binary phase-shift keying (BPSK) channel. Polarization beam splitters and arrayed waveguide gratings are used to implement a spectral-polarization coding (SPC) system with an incoherent optical source. We employ a Walsh–Hadamard code as the signature code of the user who wants to transmit stealth information using the system. A free space optical link applied to this system maintains the polarization states of light during propagation. The secret data are extracted using correlation detection and balanced subtraction in the OCDMA decoder of the intended receiver, and the other signal from the public channel is reduced by the OCDMA decoder. At the demodulator of the public channel, BPSK demodulation eliminates the stealth signal so that the public channel is not affected by the stealth signal. The two signals cannot interfere with each other. The results of this study show that our proposed optical steganography system is highly secure. The stealth signal can be favorably hidden in the public channel when the average source power of the stealth signal, public noise, and public signal are −5, −3, and 0 dBm, respectively.

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16

Zhu, Qiang, and Yang Xu. "A 228 $\mu$W 750 MHz BPSK Demodulator Based on Injection Locking." IEEE Journal of Solid-State Circuits 46, no. 2 (2011): 416–23. http://dx.doi.org/10.1109/jssc.2010.2090611.

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17

Nabovati, Ghazal, Abdollah Mirbozorgi, Mohammad Maymandi-Nejad, and Hooman Nabovati. "Ultra-low power self-calibrating process-insensitive BPSK demodulator for bio-implantable chips." IEICE Electronics Express 8, no. 11 (2011): 819–24. http://dx.doi.org/10.1587/elex.8.819.

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18

Han Yan, J. G. Macias-Montero, A. Akhnoukh, L. C. N. de Vreede, J. R. Long, and J. N. Burghartz. "An Ultra-Low-Power BPSK Receiver and Demodulator Based on Injection-Locked Oscillators." IEEE Transactions on Microwave Theory and Techniques 59, no. 5 (2011): 1339–49. http://dx.doi.org/10.1109/tmtt.2011.2116037.

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19

Wangren Xu, Zhenying Luo, and S. Sonkusale. "Fully Digital BPSK Demodulator and Multilevel LSK Back Telemetry for Biomedical Implant Transceivers." IEEE Transactions on Circuits and Systems II: Express Briefs 56, no. 9 (2009): 714–18. http://dx.doi.org/10.1109/tcsii.2009.2027968.

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20

Wilkerson, Benjamin P., Joon-Hyup Seo, Jin-Cheol Seo, and Jin-Ku Kang. "An ultra-low power BPSK demodulator with dual band filtering for implantable biomedical devices." IEICE Electronics Express 10, no. 7 (2013): 20120896. http://dx.doi.org/10.1587/elex.10.20120896.

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21

CHOI, Kwang-Chun, Minsu KO, Duho KIM, and Woo-Young CHOI. "Demonstration of 60-GHz Link Using a 1.6-Gb/s Mixed-Mode BPSK Demodulator." IEICE Transactions on Electronics E93-C, no. 12 (2010): 1704–7. http://dx.doi.org/10.1587/transele.e93.c.1704.

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22

Takahashi, Hiroyuki, Toshihiko Kosugi, Akihiko Hirata, Koichi Murata, and Naoya Kukutsu. "10-Gbit/s BPSK Modulator and Demodulator for a 120-GHz-Band Wireless Link." IEEE Transactions on Microwave Theory and Techniques 59, no. 5 (2011): 1361–68. http://dx.doi.org/10.1109/tmtt.2010.2097603.

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23

Lo, Chi-Yi, and Hao-Chiao Hong. "A 0.9 pJ/b, Reference Clock Free, Delay-Based, All-Digital Coherent BPSK Demodulator." IEEE Solid-State Circuits Letters 3 (2020): 498–501. http://dx.doi.org/10.1109/lssc.2020.3032993.

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24

Wu, Zhaohui, Xu Zhang, Zhiming Liang, and Bin Li. "CMOS implementation of a low-power BPSK demodulator for wireless implantable neural command transmission." Journal of Semiconductors 33, no. 5 (2012): 055005. http://dx.doi.org/10.1088/1674-4926/33/5/055005.

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25

Hong-Yeh Chang, Shou-Hsien Weng, and Chau-Ching Chiong. "A 30–50 GHz Wide Modulation Bandwidth Bidirectional BPSK Demodulator/ Modulator With Low LO Power." IEEE Microwave and Wireless Components Letters 19, no. 5 (2009): 332–34. http://dx.doi.org/10.1109/lmwc.2009.2017615.

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26

Pereira de Lucena, Antonio Macilio, Adeildo Sombra da Silva, Diego Dutra Viot, and Ana Maria Ambrosio. "Design of a Fully Digital BPSK Demodulator Integrated into a TT&C Satellite Transponder." IEEE Latin America Transactions 18, no. 09 (2020): 1511–20. http://dx.doi.org/10.1109/tla.2020.9381792.

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27

Kim, Duho, Kwang-chun Choi, Young-kwang Seo, Hyunchin Kim, and Woo-Young Choi. "A 622-Mb/s Mixed-Mode BPSK Demodulator Using a Half-Rate Bang-Bang Phase Detector." IEEE Journal of Solid-State Circuits 43, no. 10 (2008): 2284–92. http://dx.doi.org/10.1109/jssc.2008.2004327.

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28

Moon, S. M., J. W. Yu, and M. Q. Lee. "Direct QPSK demodulator using CMOS four-port BPSK receiver in conjunction with sequentially toggled LO phase." Electronics Letters 45, no. 24 (2009): 1244. http://dx.doi.org/10.1049/el.2009.2265.

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29

Fitz, M. P. "A bit error probability analysis of a digital PLL based demodulator of differentially encoded BPSK and QPSK modulation." IEEE Transactions on Communications 42, no. 1 (1994): 17–21. http://dx.doi.org/10.1109/26.275295.

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30

Cho, Hyunwoo, Hyungwoo Lee, Joonsung Bae, and Hoi-Jun Yoo. "A 5.2 mW IEEE 802.15.6 HBC Standard Compatible Transceiver With Power Efficient Delay-Locked-Loop Based BPSK Demodulator." IEEE Journal of Solid-State Circuits 50, no. 11 (2015): 2549–59. http://dx.doi.org/10.1109/jssc.2015.2475179.

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31

Abbasizadeh, Hamed, Sang Yun Kim, Behnam Samadpoor Rikan, et al. "Design of a 900 MHz Dual-Mode SWIPT for Low-Power IoT Devices." Sensors 19, no. 21 (2019): 4676. http://dx.doi.org/10.3390/s19214676.

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This paper presents a duty cycle-based, dual-mode simultaneous wireless information and power transceiver (SWIPT) for Internet of Things (IoT) devices in which a sensor node monitors the received power and adaptively controls the single-tone or multitone communication mode. An adaptive power-splitting (PS) ratio control scheme distributes the received radio frequency (RF) energy between the energy harvesting (EH) path and the information decoding (ID) path. The proposed SWIPT enables the self-powering of an ID transceiver above 20 dBm input power, leading to a battery-free network. The optimized PS ratio of 0.44 enables it to provide sufficient harvested energy for self-powering and energy-neutral operation of the ID transceiver. The ID transceiver can demodulate the amplitude-shift keying (ASK) and the binary phase-shift keying (BPSK) signals. Moreover, for low-input power level, a peak-to-average power ratio (PAPR) scheme based on multitone is also proposed for demodulation of the information-carrying RF signals. Due to the limited power, information is transmitted in uplink by backscatter modulation instead of RF signaling. To validate our proposed SWIPT architecture, a SWIPT printed circuit board (PCB) was designed with a multitone SWIPT board at 900 MHz. The demodulation of multitone by PAPR was verified separately on the PCB. Results showed the measured sensitivity of the SWIPT to be −7 dBm, and the measured peak power efficiency of the RF energy harvester was 69% at 20 dBm input power level. The power consumption of the injection-locked oscillator (ILO)-based phase detection path was 13.6 mW, and it could be supplied from the EH path when the input power level was high. The ID path could demodulate 4-ASK- and BPSK-modulated signals at the same time, thus receiving 3 bits from the demodulation process. Maximum data rate of 4 Mbps was achieved in the measurement.

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32

Jo, Ik-Kyun, Jo-Seph Lee, Won Na, Jong-Won Yu, and Moon-Que Lee. "4-Port Direct Conversion Receiver for BPSK Demodulation." Journal of Korean Institute of Electromagnetic Engineering and Science 19, no. 2 (2008): 181–90. http://dx.doi.org/10.5515/kjkiees.2008.19.2.181.

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33

Ravi, K. V., V. S. Palsule, and P. M. C. Lal. "Costas Loop BPSK Demodulation for Spread Spectrum System." IETE Journal of Research 32, no. 3 (1986): 98–104. http://dx.doi.org/10.1080/03772063.1986.11436576.

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34

Moon, Seong-Mo, Dong-Hoon Park, Jong-Won Yu, and Moon-Que Lee. "Design of K-Band CMOS Four-Port Direct Conversion Receiver for BPSK Demodulation." Journal of Korean Institute of Electromagnetic Engineering and Science 21, no. 2 (2010): 129–35. http://dx.doi.org/10.5515/kjkiees.2010.21.2.129.

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35

Seong-Mo Moon, Jong-Won Yu, and Moon-Que Lee. "CMOS Four-Port Direct Conversion Receiver for BPSK Demodulation." IEEE Microwave and Wireless Components Letters 19, no. 9 (2009): 581–83. http://dx.doi.org/10.1109/lmwc.2009.2027091.

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36

Elashkar, N. E., M. Aboudina, H. A. H. Fahmy, G. H. Ibrahim, and A. H. Khalil. "Memristor based BPSK and QPSK demodulators with nonlinear dopant drift model." Microelectronics Journal 56 (October 2016): 17–24. http://dx.doi.org/10.1016/j.mejo.2016.07.015.

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37

Rajanna, B. V., SVNL Lalitha, Ganta Joga Rao, and S. K. Shrivastava. "BPSK Modulation and Demodulation with Power Line Carrier Communication and GSM Communication for Smart Metering." International Journal of Power Electronics and Drive Systems (IJPEDS) 7, no. 3 (2016): 713. http://dx.doi.org/10.11591/ijpeds.v7.i3.pp713-722.

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GSM/GPRS and PLC communication are used for Automatic Meter Reading (AMR) applications. These AMR systems have made substantial progress over the recent years in terms of functionality, scalability, performance and openness such that they can perform remote metering applications for very demanding and complex systems. By using BPSK (Binary Phase Shift Keying) modulation with Power Line Carrier Communication, Smart Metering can be done in Rural Smart Micro-grids. The design and Simulation of BPSK Modulation and Demodulation are successfully done by using MATLAB/Simulink software. The advantages of using BPSK modulation over the QPSK modulation and the advantages of PLC Communication over the GSM Communication is identified in this paper.

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38

Liu, Yandu, Baoling Zhang, and Haixin Zheng. "Parallel Programming Design of BPSK Signal Demodulation Based on CUDA." International Journal of Communications, Network and System Sciences 09, no. 05 (2016): 126–34. http://dx.doi.org/10.4236/ijcns.2016.95011.

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39

Schramm, P. "Differentially coherent demodulation for differential BPSK in spread spectrum systems." IEEE Transactions on Vehicular Technology 48, no. 5 (1999): 1650–56. http://dx.doi.org/10.1109/25.790545.

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40

R. Udawant, Sandip, and Satyawati Magar. "Modulation and Demodulation of Image Processing by Using GMSK." International Journal of Engineering & Technology 7, no. 3.27 (2018): 233. http://dx.doi.org/10.14419/ijet.v7i3.27.17883.

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Today digital communication is widely used in telecommunication sector in which the information is coded in the form of bits. There are many techniques that are implemented for modulation in digital communication some of them are BPSK, QPSK, M-ary PSK, GMSK. While transmitting an image there is always a challenge to retain the quality of an image by using these digital modulation techniques. In this paper GMSK technique is used for transmitting an image. The GMSK modulation technique is widely used in GSM techniques. By using GMSK modulation technique, which carries the information with high data rate and this is very important for image transmission. The proposed system gives better results than other modulation techniques like BPSK and M-ary PSK.

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41

Ali, Mohamed Syed. "Reconfigurable Modulation Scheme for Communication System." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 3 (2018): 624. http://dx.doi.org/10.11591/ijeecs.v9.i3.pp624-628.

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<p>In any communication system transmitter and receiver are used to transmit the signal via wired or wireless channel. In the transmitter, modulation is one of the processes to transmit the signal efficiently. Likewise, receiver contains demodulation to recover the original signal from the transmitter. In general, the communication system uses one modulation/demodulation process at a time. It cannot use different modulation/demodulation within a single system. To overcome this problem reconfiguration technique is implemented. It is the method using different modulation scheme at the same time. It will increase the efficiency of the communication system. QPSK and BPSK modulation technique is used to transmit and receive the signal.</p>

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42

Thuy, H. T., and S. D. Sun. "Direct Demodulation of Optical BPSK/QPSK Signals without Digital Signal Processing." Radioengineering 27, no. 4 (2018): 942–47. http://dx.doi.org/10.13164/re.2018.0942.

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43

Yuan, Fang, and Xian Feng Gong. "Research on Processing Techniques of Logging-While-Drilling Signal Based on BPSK Continuous Wave." Applied Mechanics and Materials 88-89 (August 2011): 688–94. http://dx.doi.org/10.4028/www.scientific.net/amm.88-89.688.

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The system of Logging-While-Drilling based on BPSK continuous wave is important for horizontal well prospecting. In this paper, the processing techniques of BPSK signal received on the ground have been studied. However, it is difficult to acquire the useful signals, since including most of reflective and mud pump noises. Based on the signal’s characteristic of sine, a new difference filter method, which is in the time field, is put forward. The method combines with the band-pass filter, which is in the frequency field, to reject the noises. Costas phase-locked loop technology and number control oscillator have been used in decoding technology, which can demodulate phase information and decode the BPSK signal. By the analyses in theory and experiment, the signal can be correctly decoded.

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44

GAO, Qing-shan, Tian-qi ZHANG, Yao HUANG, and Lu-qin YU. "Simulation studies on chaos demodulation of weak BPSK signal based on Simulink tools." Journal of Computer Applications 29, no. 12 (2010): 3211–14. http://dx.doi.org/10.3724/sp.j.1087.2009.03211.

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45

ZHANG, SONG, and GUO-SHENG RUI. "CHAOTIC DETECTOR FOR BPSK SIGNALS IN VERY LOW SNR CONDITIONS." International Journal of Bifurcation and Chaos 22, no. 06 (2012): 1250144. http://dx.doi.org/10.1142/s0218127412501441.

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Chaotic detection of weak signals based on Duffing oscillator uses the property of sensitive dependence on initial conditions (SDIC). A small signal can cause a transition between the states of the system and thus be detected. Different from the early works, we concentrate on using chaotic oscillator as a detector for BPSK signals in very low signal-to-noise ratio (SNR) conditions. Phase transition identification is the key step of weak signals detection by using Duffing oscillator. In this paper, we expose a novel algorithm to use Teager energy operator (TEO) to identify the phase transition, which is more easily to be calculated than the usually used methods. According to this algorithm, a methodology is proposed for detection for BPSK signals using Duffing oscillator. A powerline carrier communication system is studied as an example to illustrate the bit error performance of the proposed chaotic detector. The simulation results show that the proposed detector works much better than the traditional coherent demodulation in strong background noise, and it can improve the error performance of uncoded BPSK signal approaching the Shannon limit curve. The proposed chaotic detector gives us another way to approach the Shannon limit without using any complex channel code technology.

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46

Zhang, J. T., Y. C. Hou, and Z. G. Yan. "Data Transmission System of Logging Cable Based on CPLD and DSP." Applied Mechanics and Materials 290 (February 2013): 133–37. http://dx.doi.org/10.4028/www.scientific.net/amm.290.133.

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This paper has designed data transmission system of logging cable based on CPLD and DSP. This system realizes the function of modulation and demodulation in BPSK with CPLD, in which the application is flexible and the circuit is simple and reliable. The System uses DSP to realize the checking function of software CRC, improving the stability and reliability of data transmission. Practical application shows that the system works normally with stable and reliable performance and can meet the requirements of the transmission of conventional logging.

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47

Shah, B., J. K. Holmes, and S. Hinedi. "Comparison of four FFT-based frequency acquisition techniques for Costas loop BPSK signal demodulation." IEEE Transactions on Communications 43, no. 6 (1995): 2157–67. http://dx.doi.org/10.1109/26.387457.

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48

Jia, Lu Liang, Ai Jun Liu, Dao Xing Guo, and Gong Chao. "Study on LDPC Coded SFH System with Multi-Tone Interference." Advanced Materials Research 659 (January 2013): 83–88. http://dx.doi.org/10.4028/www.scientific.net/amr.659.83.

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Low-Density Parity-Check code, for its admiring performance which is close to the Shannon limit, has attracted large attention in anti-jamming systems. In this paper, we studied the LDPC coded slow frequency-hopping (SFH) system and analyzed its performance with Multi-tone Interference (MTI). Three modulation schemes (BPSK, QPSK and 8PSK) are adopted in the system. Especially for 8PSK, we compared the performance of two different soft-decision demodulation schemes over additive white Gaussian noise (AWGN) channel. Also, the influences of code rate, code length, modulation scheme and jamming mode are analyzed and examined, respectively. Finally, some valuable guidelines for designing LDPC coded SFH system are proposed. Simulation results demonstrate that a desirable performance can be achieved with the appropriately designed LDPC in SFH system.

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Ghauri, Sajjad Ahmed. "KNN BASED CLASSIFICATION OF DIGITAL MODULATED SIGNALS." IIUM Engineering Journal 17, no. 2 (2016): 71–82. http://dx.doi.org/10.31436/iiumej.v17i2.641.

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Demodulation process without the knowledge of modulation scheme requires Automatic Modulation Classification (AMC). When receiver has limited information about received signal then AMC become essential process. AMC finds important place in the field many civil and military fields such as modern electronic warfare, interfering source recognition, frequency management, link adaptation etc. In this paper we explore the use of K-nearest neighbor (KNN) for modulation classification with different distance measurement methods. Five modulation schemes are used for classification purpose which is Binary Phase Shift Keying (BPSK), Quadrature Phase Shift Keying (QPSK), Quadrature Amplitude Modulation (QAM), 16-QAM and 64-QAM. Higher order cummulants (HOC) are used as an input feature set to the classifier. Simulation results shows that proposed classification method provides better results for the considered modulation formats.

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Fu, YongQing, DongMei Wu, Lin Zhang, and XingYuan Li. "A circular zone partition method for identifying Duffing oscillator state transition and its application to BPSK signal demodulation." Science China Information Sciences 54, no. 6 (2011): 1274–82. http://dx.doi.org/10.1007/s11432-011-4199-6.

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