Adaptive Sensor Scheduling and Resource Allocation in Netted Collocated MIMO Radar System for Multi-Target Tracking

Zhengjie Li,Haowei Zhang,Houhong Xiang,Zhaojian Zhang,Junwei Xie

doi:10.1109/access.2020.3001358

Zhengjie Li, Haowei Zhang + Show 3 more

Open Access

https://doi.org/10.1109/access.2020.3001358

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Journal: IEEE Access	Publication Date: Jan 1, 2020
Citations: 31	License type: CC BY 4.0

Affiliation: Air Force Engineering University, Xidian University

Abstract

In this paper, an effective solution for adaptive sensor scheduling integrated with power and bandwidth allocation is developed for centralized multiple target tracking (MTT) in the netted collocated multiple-input multiple-output (C-MIMO) radar system. By incorporating a modified particle filter, the predicted posterior Cramer-Rao lower bound (PCRLB) is calculated. Aiming at improving the sum of target tracking accuracy of location, the predicted PCRLBs for the location of multiple targets is derived as the optimization metric. Owing to the dynamic sensor scheduling is NP-hard, a convex relaxation technique is adopted for the sensor scheduling. Taking account of the problem of power and bandwidth allocation is non-convex, a joint convex relaxation technique and cycle minimizer algorithm is adopted to convert the non-convex optimization problem into a series of convex problems. After the results of resource allocation are fed back to each node, an adaptive closed-loop system is established. Numerical results demonstrate that the location tracking accuracy can be improved efficiently by the proposed algorithm.

Highlights

We assume that each collocated multiple-input multiple-output (C-MIMO) radar could perform in the same way
The total transmit power of the nth radar is set as Pn,total = 20kW, the total effective bandwidth of the nth radar is βn,total = 2MHz, and the total effective time width of the nth radar is Tn,total = 1ms, and the carrier wavelength of the nth radar is set as λn = 0.3m, n = 1, 2, . . . , N
The maximum beam number of each radar is set as M = 3, and the maximum number of radars to be selected for each target is L = 10

Summary

INTRODUCTION

Z. Li et al.: Adaptive Sensor Scheduling and Resource Allocation in Netted C-MIMO Radar System for Multi-Target Tracking of velocity, [12] discusses the joint power and time width allocation problem. Yan et al [3] studied the resource management problem for MTT in the C-MIMO radar network system with the SM working mode initially, and proposed a joint beam and power allocation scheme under the ideal detection conditions. The existing researches on the resource allocation in the netted C-MIMO radar system mainly focus on the resources of beam and transmit power to improve the target tracking accuracy of location, but the bandwidth allocation is seldom covered until. Zhang et al [16] studied a joint power and bandwidth allocation scheme for MTT in distributed MIMO radar, and bandwidth allocation was proven to improve the target tracking accuracy well.

SYSTEM MODEL

MEASUREMENT MODEL

OBJECTIVE FUNCTION

SIMULATION RESULTS AND ANALYSIS

SCENARIO 1

SCENARIO 2

CONCLUSION