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无线信道统计复用SDM(Statistical Division Multiple)作为一种新兴的信道复用技术,在通信抗干扰中具有广泛的应用前景。无噪环境下,SDM技术能够实现有用信号和干扰信号的有效分离,从而无失真地恢复出有用信号。然而信号在信道传输中不可避免会受到噪声的影响,这不仅将降低通信系统传输的可靠性,同时会影响有用信号的分离提取。针对这一问题,文章在有噪条件下,提出了一种基于小波降噪的SDM抗干扰算法,并与通信对抗中几种抗干扰算法进行了仿真比较,结果表明:提出算法同时具有优良的抗干扰性能和抗噪声性能,可将恢复信号和有用信号的相似度提高一个分离信噪比。
As a new channel multiplexing technology, Statistical Division Multiple (SDM) has a wide range of applications in anti-jamming communications. Without noise, SDM technology enables effective separation of useful and interfering signals, thus recovering useful signals without distortion. However, the signal will inevitably be affected by the noise in the channel transmission, which will not only reduce the reliability of the transmission of the communication system, but also affect the separation and extraction of the useful signal. In order to solve this problem, an anti-jamming algorithm of SDM based on wavelet denoising is proposed under noisy conditions. The anti-jamming algorithm is compared with several anti-jamming algorithms in communication countermeasures. The results show that the proposed algorithm has excellent Anti-jamming performance and anti-noise performance, can restore the similarity of the signal and the useful signal by a separate signal to noise ratio.