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Self-Encoded Spread Spectrum with Iterative Detection under Pulsed-Noise Jamming
Duraisamy, Poomathi,Nguyen, Lim The Korea Institute of Information and Commucation 2013 Journal of communications and networks Vol.15 No.3
Self-encoded spread spectrum (SESS) is a novel modulation technique that acquires its spreading code from a random information source, rather than using the traditional pseudo-random noise (PN) codes. In this paper, we present our study of the SESS system performance under pulsed-noise jamming and show that iterative detection can significantly improve the bit error rate (BER) performance. The jamming performance of the SESS with correlation detection is verified to be similar to that of the conventional direct sequence spread spectrum (DSSS) system. On the other hand, the time diversity detection of the SESS can completely mitigate the effect of jamming by exploiting the inherent temporal diversity of the SESS system. Furthermore, iterative detection with multiple iterations can not only eliminate the jamming completely but also achieve a gain of approximately 1 dB at $10^{-3}$ BER as compared with the binary phase shift keying (BPSK) system under additive white gaussian noise (AWGN) by effectively combining the correlation and time diversity detections.
Jang, Won Mee,Chi, Liang The Korea Institute of Information and Commucation 2013 Journal of communications and networks Vol.15 No.3
In this study, we investigate the multi-carrier spread spectrum (MCSS) communication system which adopts the self-encoded spread spectrum in a downlink synchronous channel. It is very difficult to completely eliminate the frequency offset in practical channel scenarios. We demonstrate that the self-encoded MCSS (SE-MCSS) with iterative despreading manifests a remarkable immunity to residual frequency offset. The SE-MCSS can be an excellent candidate for the future generation of wireless services.
Chi, Liang,Jang, Won-Mee,Nguyen, Lim The Korea Institute of Information and Commucation 2012 Journal of communications and networks Vol.14 No.3
We propose self-encoded spread spectrum with two different iterative detection methods in multi-channel communication. The centralized iterative detection outperforms the iterative detection distributed over multiple channels. The results show that self-encoded spread spectrum with the centralized iterative detection is an excellent candidate for cognitive radio network.
Liang Chi,Won Mee Jang,Lim Nguyen 한국통신학회 2012 Journal of communications and networks Vol.14 No.3
We propose self-encoded spread spectrum with two different iterative detection methods in multi-channel communication. The centralized iterative detection outperforms the iterative detection distributed over multiple channels. The results show that self-encoded spread spectrum with the centralized iterative detection is an excellent candidate for cognitive radio network.
Won Mee Jang,Liang Chi 한국통신학회 2013 Journal of communications and networks Vol.15 No.3
In this study, we investigate the multi-carrier spread spectrum (MCSS) communication system which adopts the selfencoded spread spectrum in a downlink synchronous channel. It is very difficult to completely eliminate the frequency offset in practical channel scenarios.We demonstrate that the self-encodedMCSS (SE-MCSS) with iterative despreading manifests a remarkable immunity to residual frequency offset. The SE-MCSS can be an excellent candidate for the future generation of wireless services.
Chip-Interleaved Self-Encoded Multiple Access with Iterative Detection in Fading Channels
Kim, Youn-Seok,Jang, Won-Mee,Kong, Yan,Nguyen, Lim The Korea Institute of Information and Commucation 2007 Journal of communications and networks Vol.9 No.1
We propose to apply chip interleaving and iterative detection to self-encoded multiple access (SEMA) communications. In SEMA, the spreading code is obtained from user bit information itself without using a pseudo noise code generator. The proposed scheme exploits the inherent diversity in self encoded spread spectrum signals. Chip interleaving not only increases the diversity gain, but also enhances the performance of iterative detection. We employ user-mask and interference cancellation to decouple self-encoded multiuser signals. This paper describes the proposed scheme and analyzes its performance. The analytical and simulation results show that the proposed system can achieve a 3 dB power gain and possess a diversity gain that can yield a significant performance improvement in both Rayleigh and multipath fading channels.