An Accurate Millimeter-Wave Imaging Algorithm for Close-Range Monostatic System

被引:2
作者
Nie, Xinyi [1 ,2 ]
Lin, Chuan [1 ]
Meng, Yang [3 ]
Qing, Anyong [1 ]
Sykulski, Jan K. [4 ]
Robertson, Ian D. [2 ]
机构
[1] Southwest Jiaotong Univ, Sch Elect Engn, Chengdu 611756, Peoples R China
[2] Univ Leeds, Sch Elect & Elect Engn, Leeds LS2 9JT, England
[3] Chongqing Univ Posts & Telecommun, Sch Optoelect Engn, Chongqing 400065, Peoples R China
[4] Univ Southampton, Sch Elect & Comp Sci, Southampton SO17 1BJ, England
关键词
concealed weapon detection; Fourier transform technique; method of stationary phase; microwave imaging; national security; RADAR; RECONSTRUCTION; INVERSION; DOPPLER;
D O I
10.3390/s23104577
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
An efficient and more accurate millimeter-wave imaging algorithm, applied to a close-range monostatic personnel screening system, with consideration of dual path propagation loss, is presented in this paper. The algorithm is developed in accordance with a more rigorous physical model for the monostatic system. The physical model treats incident waves and scattered waves as spherical waves with a more rigorous amplitude term as per electromagnetic theory. As a result, the proposed method can achieve a better focusing effect for multiple targets in different range planes. Since the mathematical methods in classical algorithms, such as spherical wave decomposition and Weyl identity, cannot handle the corresponding mathematical model, the proposed algorithm is derived through the method of stationary phase (MSP). The algorithm has been validated by numerical simulations and laboratory experiments. Good performance in terms of computational efficiency and accuracy has been observed. The synthetic reconstruction results show that the proposed algorithm has significant advantages compared with the classical algorithms, and the reconstruction by using full-wave data generated by FEKO further verifies the validity of the proposed algorithm. Finally, the proposed algorithm performs as expected over real data acquired by our laboratory prototype.
引用
收藏
页数:16
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