Joint Adaptive Sampling Interval and Power Allocation for Maneuvering Target Tracking in a Multiple Opportunistic Array Radar System

Abstract

In this paper, a joint adaptive sampling interval and power allocation (JASIPA) scheme based on chance-constraint programming (CCP) is proposed for maneuvering target tracking (MTT) in a multiple opportunistic array radar (OAR) system. In order to conveniently predict the maneuvering target state of the next sampling instant, the best-fitting Gaussian (BFG) approximation is introduced and used to replace the multimodal prior target probability density function (PDF) at each time step. Since the mean and covariance of the BFG approximation can be computed by a recursive formula, we can utilize an existing Riccati-like recursion to accomplish effective resource allocation. The prior Cramér-Rao lower boundary (prior CRLB-like) is compared with the upper boundary of the desired tracking error range to determine the adaptive sampling interval, and the Bayesian CRLB-like (BCRLB-like) gives a criterion used for measuring power allocation. In addition, considering the randomness of target radar cross section (RCS), we adopt the CCP to package the deterministic resource management model, which minimizes the total transmitted power by effective resource allocation. Lastly, the stochastic simulation is embedded into a genetic algorithm (GA) to produce a hybrid intelligent optimization algorithm (HIOA) to solve the CCP optimization problem. Simulation results show that the global performance of the radar system can be improved effectively by the resource allocation scheme.

Adaptive Tracking of High-Maneuvering Targets Based on Multi-Feature Fusion Trajectory Clustering: LPI’s Purpose

“…Shaghaghi et al introduced machine learning into the multi-channel, multi-function radar resource management problem, solved the optimal solution of the task scheduling problem by using the branch and bound algorithm, and used machine learning to reduce the computational complexity and maximize the utilization of time and other resources [15]. Han et al proposed a joint adaptive sampling interval and power allocation (JASIPA) scheme based on opportunistic programming constraint (OCP) [16]. However, most of the existing low radiation energy control methods are designed for conventional moving targets, and there are few studies on high-maneuvering targets.…”

Coding Artificial Magnetic Conductor Ground and Their Application to High‐Gain, Wideband Radar Cross‐Section Reduction of a 2×2 Antenna Array

“…The unidentical coding artificial magnetic conductor ground is structured to reduce the backscattering energy level of the antenna array, such as a chessboard‐like configuration, and a coaxial feed is given separately to each array. [ 12–16 ]…”

“…A wideband backscattering decrease of the antenna is achieved by loading a Jerusalem chessboard setup consisting of crosses and squares patches; 10 dB backscattering reduction is achieved by 65% comparative bandwidth. [ 17–29 ] Using a chessboard‐arranged metamaterial superstrate developed using a frequency‐selective surface, a small scattering antenna is acquired. The 10 dB backscattering is 55% relative bandwidth.…”

X-Band Radar Cross-Section of Tandem Helicopter Based on Dynamic Analysis Approach

“…The difference in structure from conventional unmanned helicopters is that unmanned tandem helicopters have no slender tail boom, with two rotors of the same size arranged in the longitudinal direction, one in the front and one in the back, and the rotors have the same rotation speed and opposite rotation directions [ 21 , 22 , 23 ]. In order to ensure the accuracy of simultaneous localization and mapping (SLAM) in the millimeter-wave band [ 24 , 25 ], a millimeter-wave radar SLAM assisted by the RCS feature of the target and inertial measurement unit is presented. With the extensive equipment of dual-band radars on various weapon platforms, the study of the electromagnetic scattering characteristics of helicopters in the X-band has also become important.…”