【摘要】 提出一种基于阵列信号处理的短波跳频信号盲检测和参数盲估计方法,即在缺少足够的先验信息的条件下,充分挖掘信号的时域、频域和空域特性,完成短波FH信号的检测、分离并估计出其各自的参数集,包括驻留时间、跳速、跳时、到达方向(DOA)、频率集和跳频带宽.提出的门限策略不仅使得检测门限能够通过理论计算得到,而且还显著地抑制了非跳频信号的干扰,从而能有效地检测出FH信号.现场测试表明:该方法切实有效,且大大提高了信噪比,改善了整体性能.更多还原

【Abstract】 An algorithm to blindly detect high frequency frequency-hopping (FH) signals and estimate their parameters based on array signal processing was proposed. That is, without enough apriori information, estimating the number of FH signals and their parameters, including dwell-time, hop-rate, hop-time, direction of arriving(DOA), frequency-set and hop-bandwidth by making the most of time-domain, frequency-domain and spatial-domain information. The proposed method for designing the threshold in FH signal detection make it easy to get the threshold by theoretic computing and can extremely reduce the interference of non-FH signals. The field test shows the presented algorithm is effective and outperforms traditional methods via improving greatly the signal noise ratio(SNR).更多还原