Your browser doesn't support javascript.
loading
An Accurate Millimeter-Wave Imaging Algorithm for Close-Range Monostatic System.
Nie, Xinyi; Lin, Chuan; Meng, Yang; Qing, Anyong; Sykulski, Jan K; Robertson, Ian D.
Afiliação
  • Nie X; School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China.
  • Lin C; School of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT, UK.
  • Meng Y; School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China.
  • Qing A; School of Optoelectronic Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
  • Sykulski JK; School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China.
  • Robertson ID; School of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK.
Sensors (Basel) ; 23(10)2023 May 09.
Article em En | MEDLINE | ID: mdl-37430492
ABSTRACT
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.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China