Power Minimization-Based Joint Resource Allocation Algorithm for Target Localization in Non-Coherent Distributed MIMO Radar System

In this article, an optimization scheme integrating power allocation, bandwidth assignment and radar node selection (PABARNS) is developed to improve power utilization efficiency (PUE) of noncoherent distributed multiple-input-multiple-output (MIMO) radar system for target localization. The basis of...

Full description

Saved in:
Bibliographic Details
Published in:IEEE systems journal pp. 1 - 12
Main Authors: Zhang, Weiwei, Shi, Chenguang, Zhou, Jianjiang
Format: Journal Article
Language:English
Published: IEEE 01.06.2022
Subjects:
Alternating direction method of multipliers (ADMM)
Bandwidth
heuristic algorithm
Heuristic algorithms
joint resource allocation
Location awareness
Manganese
noncoherent distributed multiple-input > multiple-output (MIMO) radar system
Optimization
power minimization (PM)
Radar
Resource management
ISSN:1932-8184
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this article, an optimization scheme integrating power allocation, bandwidth assignment and radar node selection (PABARNS) is developed to improve power utilization efficiency (PUE) of noncoherent distributed multiple-input-multiple-output (MIMO) radar system for target localization. The basis of the proposed scheme is to minimize the total transmit power subject to a predetermined target localization accuracy requirement, where the target localization accuracy is evaluated with the Crámer-Rao lower bound. Subsequently, the PABARNS scheme results in a mixed nonlinear Boolean-nonconvex optimization problem. In view of the unique feature of the optimization model, a two-step technique based on the heuristic algorithm and alternating direction method of multipliers method is presented to solve the underlying optimization problem, with merit of that it is more workable than other existing approaches when the power and bandwidth lie in any bound set. Finally, the simulation reveals the higher accuracy and lower complexity of the developed algorithm compared with the benchmarks, as well as the superiority of the PABARNS scheme compared with over other existing schemes in the view of the achievable PUE.
ISSN:1932-8184
DOI:10.1109/JSYST.2021.3126152