Azimuth Sidelobe Suppression Method for Through-the-Wall Radar Based on Phase Nonuniform Quantized Coherence Factor

IF 5.7 2区 计算机科学 Q1 ENGINEERING, AEROSPACE IEEE Transactions on Aerospace and Electronic Systems Pub Date : 2025-01-24 DOI:10.1109/TAES.2025.3533464
Xiaopeng Yang;Haoyu Meng;Zeyu Ma;Xiaodong Qu;Weicheng Gao;Yi Zhao
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Abstract

In through-the-wall radar systems, sparse arrays are frequently utilized to optimize the trade-off between system cost and array aperture. Nevertheless, the radar image will suffer from high azimuth sidelobes, resulting in fake targets in detection. To solve this problem, an azimuth sidelobe suppression method for through-the-wall radar based on the phase nonuniform quantized coherence factor is proposed in this article. First, based on the positional relationship among the transceivers, target, and imaging grid, the phase at the azimuth sidelobe position in a radar image can be determined, which is only relevant to radar parameters. Second, the quantized intervals are divided by the calculated phase. In addition, the phase at each imaging grid is quantized to guarantee the maximum phase difference at the azimuth sidelobe position. Ultimately, the weight image is computed using the phase standard deviation. By applying weights to the original radar image, the azimuth sidelobes are effectively suppressed. Both numerical simulations and experimental results are analyzed to demonstrate the superiority and robustness of the proposed method.
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基于相位非均匀量化相干系数的穿壁雷达方位角旁瓣抑制方法
在穿墙雷达系统中,经常使用稀疏阵列来优化系统成本和阵列孔径之间的权衡。然而,雷达图像会受到高方位角副瓣的影响,导致探测时出现假目标。为了解决这一问题,本文提出了一种基于相位非均匀量化相干系数的穿壁雷达方位角旁瓣抑制方法。首先,根据收发机、目标和成像网格之间的位置关系,可以确定雷达图像中方位角旁瓣位置处的相位,该相位只与雷达参数有关。其次,将量子化间隔除以计算出的相位。此外,每个成像网格的相位都进行了量化,以保证方位角旁瓣位置的相位差最大。最后,利用相位标准差计算权重图像。通过对原始雷达图像施加权值,有效地抑制了方位角副瓣。数值模拟和实验结果均证明了该方法的优越性和鲁棒性。
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来源期刊
CiteScore
7.80
自引率
13.60%
发文量
433
审稿时长
8.7 months
期刊介绍: IEEE Transactions on Aerospace and Electronic Systems focuses on the organization, design, development, integration, and operation of complex systems for space, air, ocean, or ground environment. These systems include, but are not limited to, navigation, avionics, spacecraft, aerospace power, radar, sonar, telemetry, defense, transportation, automated testing, and command and control.
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