Sparse Bayesian learning-based parameter estimation for PMCW-MIMO radars with few-bit quantization

Qi You; Feng Xi; Shengyao Chen

doi:10.1117/12.3023251

28 March 2024 Sparse Bayesian learning-based parameter estimation for PMCW-MIMO radars with few-bit quantization

Qi You, Feng Xi, Shengyao Chen

Proceedings Volume 13091, Fifteenth International Conference on Signal Processing Systems (ICSPS 2023); 130911F (2024) https://doi.org/10.1117/12.3023251
Event: Fifteenth International Conference on Signal Processing Systems (ICSPS 2023), 2023, Xi’an, China

Abstract

In this work, we consider target parameter estimation of phase modulated continuous wave (PMCW) multiple-input multiple-output (MIMO) radar systems with few-bit quantization observations. We formulate the parameter problem as a sparse recovery problem and then jointly estimate the targets’ amplitudes, time delays, Doppler shifts, and directions under the generalized sparse Bayesian learning (Gr-SBL) framework. Under this framework, this proposed algorithm decomposes the original nonlinear problem into a sequence of standard linear model (SLM) problems. Therefore, we can apply the standard sparse Bayesian learning (SBL) algorithm to solve the above SLM. Numerical results demonstrate the effectiveness of the proposed Gr-SBL algorithm for the parameter estimation of a PMCW MIMO radar systems with few-bit analog-to-digital converters (ADCs).

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qi You, Feng Xi, and Shengyao Chen "Sparse Bayesian learning-based parameter estimation for PMCW-MIMO radars with few-bit quantization", Proc. SPIE 13091, Fifteenth International Conference on Signal Processing Systems (ICSPS 2023), 130911F (28 March 2024); https://doi.org/10.1117/12.3023251

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available