基于单帧多通道配准的穿墙雷达运动目标实时检测方法设计与实现

doi:10.12305/j.issn.1001-506X.2026.08.06

Abstract

Abstract:

Through-wall radar (TWR) motion target detection can provide real-time information on moving targets in enclosed environments, playing an important role in urban counter-terrorism and stability maintenance. Current research mainly focuses on TWR motion target detection algorithms, most of which suffer from high computational complexity, making it difficult to meet the requirements of real-time applications. To address this issue, a real-time TWR motion target detection method based on single-frame multi-channel registration and its efficient implementation is proposed. First, a clutter suppression method based on single-frame multi-channel data frequency-domain phase compensation and cancellation is introduced, which effectively reduces the data waiting latency inherent in traditional multi-frame data cancellation approaches. Secondly, a real-time detection method for moving targets of TWR based on multi stream asynchronous parallel and thread hierarchy of graphics processing unit (GPU) is designed. The proposed method includes a GPU-based clutter suppression multi-stream asynchronous parallel strategy, a coarse-and fine-grained parallelization of the back-projection （BP） imaging algorithm, and a block-level inter-parallel and intra-block reduction parallel strategy for two-dimensional constant false-alarm rate （CFAR） detection. Both simulation and experimental results demonstrate that the proposed method can complete real-time detection of moving targets behind walls within 1.078 ms for single-frame data with eight channels and 8192 range samples. Compared with conventional central processing unit-based implementations, the proposed method achieves a 92-fold improvement in processing efficiency, confirming its effectiveness and robustness.

Key words: through-wall radar, moving target, real-time detection, graphics processing unit （GPU）, parallel

CLC Number:

TN 911

Xiaolu ZENG, Guozhen LIU, Shichao ZHONG, Feiyang LIU, Xiaopeng YANG. Design and implementation of real-time detection method for moving target using through-wall radar based on single-frame multi-channel registration[J]. Systems Engineering and Electronics, 2026, 48(8): 2560-2580.

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参数	参数值
信号源	线性调频连续波
脉冲宽度/s	$ 9.2\times {10}^{-8} $
带宽/GHz	0.7
中心频率/GHz	1.35
脉冲重复频率/Hz	100
发射天线间距（$ {{d}}_{{m}} $）/m	0.85
接收天线间距（$ {{d}}_{{n}} $）/m	0.21

环境信噪比/dB	对消方式	SFMCF-DPCA 后的图像熵	输出信噪比/dB
环境信噪比/dB	对消方式	SFMCF-DPCA 后的图像熵	SFMCF-DPCA	未杂波抑制
−10	任意两通道对消	7.852	9.6767	6.7061
	同发不同收通道对消	9.056	11.2126	8.4492
	相邻通道对消	7.480	14.3345	9.1661
20	任意两通道对消	7.344	17.335	9.7791
	同发不同收通道对消	6.572	22.7732	9.0724
	相邻通道对消	6.471	24.8618	10.2921
40	任意两通道对消	7.360	17.4056	9.6980
	同发不同收通道对消	6.560	22.7613	9.0519
	相邻通道对消	6.467	24.9302	10.2573

参数	参数值
信号源	线性调频连续波
脉冲宽度/s	$ 9.8\times {10}^{-8} $
带宽/GHz	0.7
中心频率/GHz	1.35
脉冲重复频率/Hz	2500
发射天线间距/m	0.85
接收天线间距/m	0.21

设备	型号	配置
CPU	Intel（R） Core（TM） i9-14900HX	5.8 GHz最大睿频，32 G内存
GPU	NVIDIA RTX 4070	5888 CUDA core，12 G显存

环节	平均耗时/ms		加速比	总加速比
环节	CPU	GPU（所提方法）	加速比	总加速比
杂波抑制	19.722	0.275	72	92
区域成像	41.785	0.305	137
目标检测	18.752	0.293	64

Design and implementation of real-time detection method for moving target using through-wall radar based on single-frame multi-channel registration

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设备	数据规模（通道数×距离向采样点数）	通道对消方式	对消次数	耗时/ms		加速比
设备	数据规模（通道数×距离向采样点数）	通道对消方式	对消次数	方案1	方案2（所提方法）	加速比
GPU	8×8192	相邻通道	7	1.116	0.275	4
		同发不同收通道	12	2.395	0.327	7
		任意两通道	28	5.466	0.484	11

设备	数据规模	网格大小	耗时/ms
设备	数据规模	网格大小	方案A （所提方法）	方案B	方案C
GPU	7×8192	101×101	0.305	0.316	18.892
		201×201	0.657	1.173	74.445
		401×401	2.354	4.492	277.496
		801×801	9.344	17.324	1063
		1601×1601	43.307	72.597	4295

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