Low probability of intercept-based collaborative transmit resource and bandwidth allocation strategy for target tracking in distributed radar network system

2021 ◽  
Author(s):  
L. Ding ◽  
C. Shi ◽  
F. Wang ◽  
J. Zhou
Keyword(s):  
Target Tracking ◽  
Bandwidth Allocation ◽  
Network System ◽  
Allocation Strategy ◽  
Radar Network ◽  
Low Probability ◽  
Low Probability Of Intercept

scholarly journals Joint Dwell Time and Bandwidth Optimization for Multi-Target Tracking in Radar Network Based on Low Probability of Intercept

Sensors ◽  
2020 ◽  
Vol 20 (5) ◽  
pp. 1269
Author(s):  
Lintao Ding ◽  
Chenguang Shi ◽  
Wei Qiu ◽  
Jianjiang Zhou
Keyword(s):  
Lower Bound ◽  
Target Tracking ◽  
Bandwidth Allocation ◽  
Dwell Time ◽  
Network Systems ◽  
Bandwidth Optimization ◽  
Radar Network ◽  
Multi Target Tracking ◽  
Low Probability ◽  
Low Probability Of Intercept

Radar network systems have been demonstrated to offer numerous advantages for target tracking. In this paper, a low probability of intercept (LPI)-based joint dwell time and bandwidth optimization strategy is proposed for multi-target tracking in a radar network. Since the Bayesian Cramer–Rao lower bound (BCRLB) provides a lower bound on parameter estimation, it can be utilized as the accuracy metric for target tracking. In this strategy, in order to improve the LPI performance of the radar network, the total dwell time consumption of the underlying system is minimized, while guaranteeing a predetermined tracking accuracy. There are two adaptable parameters in the optimization problem: one for dwell time, and the other for bandwidth allocation. Since the nonlinear programming-based genetic algorithm (NPGA) can solve the nonlinear problem well, we develop a method based upon NPGA to solve the resulting problem. The simulation results demonstrate that the proposed strategy has superiority over traditional algorithms, and can achieve a better LPI performance of this radar network.

scholarly journals Signal Processing for Tracking of Moving Object in Multi-Impulse Radar Network System

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Beom-Hun Kim ◽  
Seung-Jo Han ◽  
Goo-Rak Kwon ◽  
Jae-Young Pyun
Keyword(s):  
Signal Processing ◽  
Kalman Filter ◽  
Target Tracking ◽  
Extended Kalman Filter ◽  
Ultra Wideband ◽  
Network System ◽  
Real Time System ◽  
Positioning Systems ◽  
Tracking Method ◽  
Radar Network

Indoor positioning systems (IPSs) have been discussed for use in entertainment, home automation, rescue, surveillance, and healthcare applications. In this paper, we present an IPS that uses an impulse radio-ultra-wideband (IR-UWB) radar network. This radar network system requires at least two radar devices to determine the current coordinates of a moving person. However, one can enlarge the monitoring area by adding more radar sensors. To track moving targets in indoor environments, for example, patients in hospitals or intruders in a home, signal processing procedures for tracking should be applied to the raw data measured using IR-UWB radars. This paper presents the signal processing method required for robust target tracking in a radar network, that is, an iterative extended Kalman filter- (IEKF-) based object tracking method, which uses two IR-UWB radars to measure the coordinates of the targets. The proposed IEKF tracking method is compared to the conventional extended Kalman filter (EKF) method. The results verify that the IEKF method improves the performance of 2D target tracking in a real-time system.

Sign in / Sign up

Export Citation Format

Share Document