针对低检测概率下的无源定位问题，提出一种基于滑窗批处理的多传感器融合跟踪算法。
For the problem of passive location under low detection probability, a multi-sensor fusion tracking algorithm based on sliding window batch technique is presented.
分析表明，本文提出的伪码序列捕获系统具有检测概率高、虚警概率低和平均捕获时间短的特点。
According to the result of the analysis, the designed digital code acquisition system has higher probability of detection, lower probability of false alarm and shorter average acquisition time.
试验结果表明，采用以上这些方法在低信噪比强窄带干扰情况下，对于LF M信号具有较高的正确检测概率及参数测量精度。
The experiment result proves that high detecting probabilities and parameter measuring accuracy can be obtained by these methods under low SNR and strong narrow jamming conditions.
试验结果表明，采用以上这些方法在低信噪比强窄带干扰情况下，对于LF M信号具有较高的正确检测概率及参数测量精度。
The experiment result proves that high detecting probabilities and parameter measuring accuracy can be obtained by these methods under low SNR and strong narrow jamming conditions.
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