@article{Cheng2026, 
author = {Ting Cheng and Quan Zhou and Congchong Cao},
title = {Joint Node Selection and Power Allocation for Phased Array Radar Network in Maneuvering Multi-Target Tracking under Non-Ideal Detection},
year = {2026},
journal = {Tsinghua Science and Technology},
keywords = {radar resource allocation, phased array radar network, maneuvering multi-target tracking, non-ideal detection, Bayesian Cramér–Rao lower bound (BCRLB)},
url = {https://www.sciopen.com/article/10.26599/TST.2025.9010093},
doi = {10.26599/TST.2025.9010093},
abstract = {This paper addresses the problem of joint node selection and power allocation for phased array radar network in maneuvering multi-target tracking under non-ideal detection. Based on the objective of minimizing the total transmission power of all radar nodes while satisfying the target tracking accuracy thresholds and the given system resource constraints, a joint optimization problem model under non-ideal detection condition is established. A closed-form analytical expression for the predicted conditional Cramér–Rao lower bound (PC-CRLB) is derived, which is used as a measure of multi-target tracking accuracy under non-ideal detection. To tackle the nonlinear and non-convex optimization problem, a cyclic iterative framework based on a relaxed interior point method and a heuristic signal-to-noise ratio (SNR)-based initial point selection algorithm is adopted, and a joint node selection and power allocation under non-ideal detection (JNSPA-NID) scheme is proposed. Simulation results indicate that the proposed algorithm effectively reduces the total transmission power of the system while meeting the specified multi-target tracking accuracy requirements under non-ideal detection conditions compared to other comparative algorithms.}
}