Compressive sensing-based super-resolution DOA estimation for mechanical scanning radar

The Journal of Engineering

Fanglei Cheng¹  Yang Li¹  Hongyu Wang¹ 

[1] Beijing Institute of Technology;

关键词: direction-of-arrival estimation;    compressed sensing;    radar resolution;    radar receivers;    radar transmitters;    mechanical scanning radar;    arrival estimation method;    advanced compressive sensing algorithm;    array radar signal model;    regularised orthogonal matching pursuit algorithms;    multiple signal classification;    robust angle difference estimation;    received echo signal transmission;    compressive sensing-based super-resolution doa estimation method;    directions of arrival estimation method;    received echo signal receiver;    sparsification technique;    bp algorithm;    basic pursuit algorithm;    omp algorithm;    orthogonal matching pursuit algorithm;    maximum likelihood method;   

DOI  :  10.1049/joe.2019.0724

来源: DOAJ

【 摘 要 】

This study presents a novel super-resolution directions of arrival (DOA) estimation method for mechanical scanning radar by using the advanced compressive sensing algorithm. This method is implemented by constructing a signal model of the mechanical scanning radar through imitating the array radar signal model. Also then it established the compression relationship between the transmitted and received echo signals of the reader by sparsification technique of sending signals. Finally, the DOA estimation can be solved by employing advanced compressive sensing algorithm including basic pursuit (BP), orthogonal matching pursuit (OMP), regularised orthogonal matching pursuit algorithms and so on. Compared with the conventional super-resolution DOA estimation method such as multiple signal classification, the proposed method can distinguish two or more targets within one beamwidth more precisely. Compared with the earlier super-resolution DOA estimation method such as maximum likelihood, the proposed method can obtain more accurate and robust angle difference estimation and do not need to previously know the source number. Both simulated and experimental results show that the overall performance of the proposed DOA estimation is better than that of other methods.

【 授权许可】

Unknown