Work

Study on the Compressed Matrices in Compressed Sensing Trilinear Model

Year: 2014

Type: article

Abstract: In this paper, we make study on the compressed matrices in the compressed sensing trilinear model-based angle estimation algorithm, whose complexity is lower than conventional trilinear decomposition-based method, due to the use of compressed matrices. And we take the problem of angle estimation for bistatic multiple-input multiple-output (MIMO) radar as an example. Simulation results can provide reference for the choice of compressed matrices.

Source: Applied Mechanics and Materials

DOI: 10.4028/www.scientific.net/amm.556-562.3380

Authors: Shu Li, Xiao Fei Zhang

Institution: Nanjing University of Aeronautics and Astronautics

Language: English

Topic: Radar Systems and Signal Processing

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Science Foundation, Qinglan Project of Jiangsu Province of China, Fundamental Research Funds for the Central Universities

OpenAlex ID: W1983259170

FWCI: 1.604

Cites: 8

Cited by: 6

Related to: 10