Dictionary design method for improving MIMO radar target detection performance in complex scene

The invention discloses a dictionary design method for improving MIMO radar target detection performance in a complex scene, and belongs to the field of sparse representation. Establishing a co-located MIMO radar signal sparse representation model; acquiring a CAE model for nonlinear feature extract...

Full description

Saved in:
Bibliographic Details
Main Authors WANG HONGYAN, ZHOU HE, MA JIAKANG, HUANG ZIFENG
Format Patent
LanguageChinese
English
Published 09.01.2024
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:The invention discloses a dictionary design method for improving MIMO radar target detection performance in a complex scene, and belongs to the field of sparse representation. Establishing a co-located MIMO radar signal sparse representation model; acquiring a CAE model for nonlinear feature extraction and correction of the received data; constructing a joint optimization model based on a minimum reconstruction error and a target clutter correlation criterion; alternately updating CAE model parameters, target clutter dictionaries and corresponding sparse coefficients of the joint optimization model, and obtaining an optimal target clutter dictionary and a corresponding sparse coefficient; the method comprises the following steps: obtaining a receiving and transmitting space-time resource joint optimization model based on a least square criterion, solving the obtained optimization problem by a convex optimization method, and obtaining a CAE model capable of effectively correcting the nonlinear effect of MIMO r
Bibliography:Application Number: CN202311400519