TY - GEN
T1 - Multi-component CPS detection algorithm based on improved coherently integrated cubic phase function
AU - Zhao, Langxu
AU - Tao, Haihong
AU - Su, Jia
AU - Chen, Weijia
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - In this paper, a novel improved coherently integrated cubic phase function (ICI-CPF) algorithm is proposed for the cubic phase signal (CPS). The proposed algorithm consists of three stages. Firstly, transform the CPS to the lag-frequency domain, in which auto-terms are concentrated into straight lines passing through the origin of the two-dimensional plane. Based on this important property, the auto-terms are coherently accumulated along the straight lines. Finally, search the distinct peaks in the chirp rate (CR)-quadratic chirp rate (QCR) domain, and estimate the CR and QCR, simultaneously. ICICPF algorithm can be proved to be with well auto-term accumulation and cross-term suppression capabilities by theory analysis and simulations. Besides, compared with several existing algorithms, it shows superior anti-noise performance and acceptable computation complexity. Based on ICICPF algorithm, a novel multi-component CPS detection method is presented, which is able to eliminate the shadow effect among the components and realize the components detection. Simulations and real measured data processing results proves its validity.
AB - In this paper, a novel improved coherently integrated cubic phase function (ICI-CPF) algorithm is proposed for the cubic phase signal (CPS). The proposed algorithm consists of three stages. Firstly, transform the CPS to the lag-frequency domain, in which auto-terms are concentrated into straight lines passing through the origin of the two-dimensional plane. Based on this important property, the auto-terms are coherently accumulated along the straight lines. Finally, search the distinct peaks in the chirp rate (CR)-quadratic chirp rate (QCR) domain, and estimate the CR and QCR, simultaneously. ICICPF algorithm can be proved to be with well auto-term accumulation and cross-term suppression capabilities by theory analysis and simulations. Besides, compared with several existing algorithms, it shows superior anti-noise performance and acceptable computation complexity. Based on ICICPF algorithm, a novel multi-component CPS detection method is presented, which is able to eliminate the shadow effect among the components and realize the components detection. Simulations and real measured data processing results proves its validity.
UR - http://www.scopus.com/inward/record.url?scp=85082469379&partnerID=8YFLogxK
U2 - 10.1109/PIERS-Fall48861.2019.9021431
DO - 10.1109/PIERS-Fall48861.2019.9021431
M3 - 会议稿件
AN - SCOPUS:85082469379
T3 - 2019 Photonics and Electromagnetics Research Symposium - Fall, PIERS - Fall 2019 - Proceedings
SP - 119
EP - 127
BT - 2019 Photonics and Electromagnetics Research Symposium - Fall, PIERS - Fall 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 Photonics and Electromagnetics Research Symposium - Fall, PIERS - Fall 2019
Y2 - 17 December 2019 through 20 December 2019
ER -