微弱信号长时间积累的检测方法

A Method for Long-Term Signal Integral Detection of Weak Targets

  • 摘要: 提出一种微弱信号长时间积累的检测方法,对雷达回波信号采用时域分帧处理,每帧进行门限预处理,剔除大部分干部噪声,仅保留包含目标在内的部分HAF谱成分以作后续的帧间累加,仿真结果表明,该方法可以有效地进行信号积累,只需1/4或1/8的存储量,就可以取得与HAF方法接近的检测效果。

     

    Abstract: A novel method for the long term signal integral detection of weak targets is presented. The signal is divided into several frames in time domain. In each frame, the HAF spectrum is filtered with certain threshold to preserve the object information and eliminate the interference and noise. And then all frames are accumulated. Simulation results show that the method can integrate the signal and enhance available energy effectively, which can achieve the similar detection result to HAF, with 1/4 or 1/8 of quantity of the memory.

     

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