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.

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针对采用脉冲压缩体制的低截获概率雷达的应用场合，提出了一种识别二相编码脉冲压缩雷达信号的新算法。

Aimed at the application of low probability of intercept adopting pulse compression system, a new arithmetic of recognizing binary phase coded pulse compression radar signal is proposed.

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仿真结果表明，在低信噪比的多径信道下，该算法可通过选择合适的训练符号，使错检概率低于常规算法。

The simulation results indicate under multipath channel for low SNR, the new algorithm has lower probability of failure than the conventional algorithm by adopting proper training symbols.

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