An Improved Detection Algorithm of Moving Targets Based on Envelope Alignment in Sea Environments

Zhefeng Wu, P. Sun, Yanchao Lin, Laitian Cao
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Abstract

Detection algorithm has been widely applied in water surface targets detection. However, the traditional algorithm cannot effectively detect those slow moving targets. This paper proposes a modified detection algorithm to improve accumulation gain while eliminating positional deviation of imaging output. First, the echoes of non-cooperative target are compensated by azimuth filtering. The range pulse compression and radar speed compensation are implemented subsequently. To effectively correct the range walk caused by target motion, range alignment based on profile correlation is performed. Ultimately, the aligned signals are accumulated through azimuth Fast Fourier Transform (FFT). Effectiveness of the proposed method is verified by experimental results based on simulated data.
海洋环境下基于包络线对准的运动目标检测改进算法
检测算法在水面目标检测中得到了广泛的应用。然而,传统的算法不能有效地检测到这些缓慢运动的目标。本文提出了一种改进的检测算法,以提高累积增益,同时消除成像输出的位置偏差。首先,对非合作目标回波进行方位角滤波补偿;随后实现了距离脉冲压缩和雷达速度补偿。为了有效校正目标运动引起的距离行走,采用了基于轮廓相关的距离对准方法。最后,通过方位角快速傅里叶变换(FFT)对对齐后的信号进行累积。基于仿真数据的实验结果验证了该方法的有效性。
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