摘要
分辨率和测量精度是衡量穿墙雷达性能的重要指标。针对连续波穿墙雷达信噪比低、检测精度差以及在频率混叠区域目标信号难以识别等问题,重新分析了接收信号的组成,修正了回波的数学模型并推导了一种基于频域解调斜-自适应滤波的联合检测新算法。新算法以在频率混叠区域准确识别并分离目标为主要目的,计算机仿真结果表明:新算法无论是在分辨率还是检测精度方面较传统的成像结果都有了明显的提高,同时还兼具目标信息匹配等优势,为连续波穿墙雷达的高精度成像提供可能。
The resolving power and detection precision are vital indicators to measure the performance of a through wall radar（TWR）. For continuous wave through wall radar（CW-TWR）, low signal to noise rate（SNR）, poor detection precision and undistinguishable signals in frequency ambiguous zones are the main drawbacks that hamper its prevalent use. To handle these issues, the components of the received signal are re-analysed, and a new slope demodulation-adaptive filter united algorithm is proposed based on the modified echo model. The simulation results verify that the proposed algorithm can properly recognize and separat targets even in frequency ambiguous zones, and has a better performance upon the resolving power and detection precision. Besides, the new algorithm has the advantage of result matching based on the targets. The possibility for the high resolution imaging of the CW-TWR can be obtained with the new algorithm.
出处
《电波科学学报》
EI
CSCD
北大核心
2010年第3期590-596,共7页
Chinese Journal of Radio Science
基金
国家自然科学基金资助课题(编号:60551002)
关键词
连续波穿墙雷达
频谱分离
CLEAN算法
解调频
自适应滤波器
continuous wave through wall radar
frequency separation
CLEAN algorithm
slop-demodulation
adaptive filter
