基于循环谱的DSSS信号检测方法研究

DSSS Signal Detection Method based on Cyclic Spectrum

直接序列扩频(DSSS)通信以其在抗截获、抗干扰等方面的优良性能,在军事通信中得到了广泛应用。针对DSSS信号的循环谱检测,提出一种基于集平均的信号检测性能优化方法。通过对循环谱谱峰搜索仿真,实现了几种典型干扰环境中无信号载频、伪码序列与速率等先验信息情况下对DSSS信号的盲检测,并给出了相应的信号检测方案。仿真结果表明,采用基于集平均的循环谱检测优化方法能够进一步提高复杂电磁环境中低截获概率信号检测器的检测性能。

DSSS （Direct sequence spread spectrum） communication is widely used in military communications for its excellent performance in anti-interception and anti-jamming. Aiming at the cyclic spectrum detection of DSSS signals, a method of signal detection performance optimization based on set average is proposed. With the simulation on spectrum-spectrum peak searching, the blind detection of DSSS signals is realized in several typical jamming environments and conditions without signal carrier frequency, pseudo-code sequence and rate and other priori information, and the corresponding signal detection scheme is given in this paper. The simulation results indicate that the cyclic spectrum detection optimization method based on set average could further improve the detection performance of LPI signal detector in complex electromagnetic environment.