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极低信噪比环境下的伪码连续波测量雷达初始粗同步捕获过程中,为了增加唐检测判决算法的灵敏度,除门限条件外,引入前后两次单次检测捕获的伪码相位估计值之差在一定范围内的近邻约束作为上/下行计数器值增减的条件。通过对唐检测判决过程建立马尔可夫链模型,对引入近邻约束的改进唐检测算法的检测性能进行了理论分析与推导。仿真结果表明,将近邻约束引入唐检测判决算法,可以在检测概率几乎不变的情况下,大幅度降低虚警概率,即改进算法明显地增强了对微弱信号的检测能力,且检测速度不受影响。
In order to increase the sensitivity of Tang detection decision algorithm in initial rough synchronization acquisition of very low signal-to-noise ratio (SNR) environment, in addition to the threshold conditions, the pseudo-code phase estimation value Neighboring constraints that are poor within a certain range serve as conditions for the up / down counter value to increase or decrease. By establishing the Markov chain model to the Tang detection decision-making process, the detection performance of the improved Tang detection algorithm introducing the nearest neighbor constraint is theoretically analyzed and deduced. The simulation results show that the introduction of neighbor constraints into the Tang detection algorithm can significantly reduce the probability of false alarm when the detection probability is almost the same, that is, the improved algorithm obviously enhances the detection of weak signals, and the detection speed is not affected influences.