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Self-encoded spread spectrum with iterative detection under pulsed-noise jamming

机译：在脉冲噪声干扰下具有迭代检测功能的自编码扩频

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摘要

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 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.
机译：自编码扩展频谱（SESS）是一种新颖的调制技术，可从随机信息源获取其扩展代码，而不使用传统的伪随机噪声（PN）代码。在本文中，我们介绍了在脉冲噪声干扰下对SESS系统性能的研究，并表明迭代检测可以显着提高误码率（BER）性能。验证了具有相关检测的SESS的干扰性能与常规直接序列扩频（DSSS）系统的干扰性能相似。另一方面，通过利用SESS系统固有的时间分集，SESS的时间分集检测可以完全减轻干扰的影响。此外，与加性高斯白噪声（AWGN）下的二进制相移键控（BPSK）系统相比，通过有效地组合噪声，经过多次迭代的迭代检测不仅可以完全消除干扰，而且在10 BER下可获得约1 dB的增益。相关性和时间分集检测。

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