为提高基于二元判决的N雷达分布式检测算法在各个雷达的信噪比未知且可能时变条件下的检测性能,提出了基于局部N门限量化的分布式检测算法和衡量不同检测算法性能的一般性方法。仿真结果表明:该算法性能优于各种基于“N选k”融合的检测算法,在特定情况下比基于OR融合的方案有2~2.5 dB的信噪比改善,相对于极大似然准则下的集中式检测器的信噪比损失不到0.8 dB。在各个传感器的信噪比差异明显时,与基于OR融合的方法有同样的稳健性,因而是一种稳健且高性能的检测算法。 In order to improve the detection performance of N-radar distributed detection algorithm based on binary decision in the case of unknown and possibly time-varying signal-to-noise ratio of each radar, a distributed detection algorithm based on local N-threshold quantization and a method of measuring the performance of different detection algorithms The general method. The simulation results show that the performance of the proposed algorithm is superior to that of other algorithms based on the fusion of “N-k-k” fusion. In particular cases, the signal-to-noise ratio of 2 ~ 2.5 dB is improved compared with the scheme based on OR fusion. However, the SNR of the centralized detector under the criterion is less than 0.8 dB. When the signal-to-noise ratio of each sensor is significantly different, it has the same robustness as the method based on OR fusion and is therefore a robust and high-performance detection algorithm.