基于频域互相关的窄带干扰抑制方法

在时域互相关弱信号检测方法中,针对窄带干扰会被误认为是目标信号而导致该方法失效的问题,提出一种基于频域互相关的窄带干扰抑制方法.该方法通过把整个频带划分成多个子频带并获得相应的统计特性,然后在每个子频带上完成基于单边判决理论的单比特判决,最后运用"n-out-of-m"的融合规则来综合所有子频带的判决结果完成最后判决.仿真结果表明,频域互相关法能有效地抑制窄带干扰,相比于时域互相关法具有明显的优势.

Suppression of narrowband interference using frequency-domain cross-correlation

Narrowband interference (NBI) may lead to failure of the time-domain cross-correlation (TDCC) weak signal detection approach since NBI is mistakenly detected as the desired signal. In order to solve this problem, a detection approach based on frequency-domain cross-correlation (FDCC) is proposed. The entire spectrum band is divided into multiple sub-bands, and the corresponding statistical characteristic of each sub-band is derived. Then according to the criterion of one-sided test, a one-bit decision is made in each sub-band. Finally, the decisions of all the sub-bands are processed jointly via the n-out-of-m fusion rule to make the final decision. Simulation results show that the proposed approach is promising for suppressing NBI and it distinctively outperforms the TDCC detection approach.