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A Novel Interference Suppression Algorithm Based on Irregular Wavelet Packet Transform in DSSS Satellite Communication System

机译:一种基于DSSS卫星通信系统不规则小波分组变换的新型干扰抑制算法

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In recent year, the Direct Sequence Spread Spectrum (DSSS) technology has been introduced as an attractive approach to guarantee anti-interference capability in satellite communication system. However, due to the limitation of the DSSS, the system performance has been greatly deteriorated while a strong interference is out of the tolerance of the system. Meanwhile, what the wavelet packet transforms is ideally suitable for the interference detection and suppression of DSSS satellite communication system by exploiting its excellent local time-frequency domain analysis capability. In this paper, a novel algorithm has been put forward to achieving position and interference suppression through combing the sub-band power ratio with minimum power thresholds which are based on the analysis on the optimal wavelet packet decomposition. Simulation result shows that the proposed interference suppression algorithm significantly improves the anti-jamming capability of DSSS satellite communication system compared with the traditional FFT algorithm.
机译:近年来,已经引入了直接序列扩频(DSSS)技术作为保证卫星通信系统中抗干扰能力的有吸引力的方法。然而,由于DSSS的限制,系统性能大大恶化,而强烈的干扰超出了系统的容差。同时,小波包变换的理想地是通过利用其优异的局部时频域分析能力来理解DSSS卫星通信系统的干扰检测和抑制。在本文中,已经提出了一种新颖的算法,以实现通过梳理子带功率比与基于最佳小波分组分解的分析的最小功率阈值来实现位置和干扰抑制。仿真结果表明,与传统的FFT算法相比,所提出的干扰抑制算法显着提高了DSSS卫星通信系统的抗干扰能力。

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