变换域通信系统自适应N-sigma幅度谱成型算法

针对变换域通信系统传统硬门限判决算法漏检和误检的问题,为提高系统的抗干扰性能,提出一种自适应N-sigma幅度谱成型算法。该算法通过频谱感知获得环境功率谱的幅值信息,计算环境功率谱的均值和标准差;根据正态分布相关理论,自适应设置门限。若电磁环境发生变化,均值和标准差会重新调整更新门限。仿真结果表明,相比传统的硬门限判决算法,自适应N-sigma幅度谱成型算法的门限设置更加灵活精确,降低了干扰的漏检概率和误检概率,提高了系统的抗干扰性能。

Adaptive N-sigma amplitude spectrum shaping algorithm in transform domain communication system

In order to reduce the relatively high probability of missed and false detection in traditional hard threshold setting algorithm, improve the anti-interference performance of Transform Domain Communication System (TDCS), an adaptive N-sigma amplitude spectrum shaping algorithm was proposed. The amplitude information of environment power spectrum was got according to spectrum sensing, the mean and standard deviation of the environment power spectrum were calculated. According to the correlation theory of normal distribution, the threshold was adaptively set. Therefore, when the electromagnetic environment changed, the mean and standard deviation would be readjusted and the threshold would be updated. The simulation results show that, compared to the traditional hard threshold setting algorithm, the threshold setting of the adaptive N-sigma amplitude spectrum shaping algorithm is more flexible and accurate, which can reduce the missed detection probability and false detection probability of interference and improve the overall anti-interference performance of the system.