Abstract
Real-time resource allocation is crucial for phased array radars to undertake multi-task with limited resources such as in the situation of multi-target tracking, in which targets need to be prioritized so that resources can be allocated accordingly and effectively. In this paper, a three-way decision-based model is proposed for adaptive scheduling of phased radar dwell time. Using the model, the threat posed by a target is measured by an evaluation function, and therefore, a target is assigned to one of the three possible decision regions, i.e., positive region, negative region, and boundary region. A different region has a various priority in terms of resource demand, and as such, a different radar resource allocation decision is applied to each region to satisfy different tracking accuracy of multi-target. In addition, the dwell time scheduling model can be further optimized by implementing a strategy for determining a proper threshold of three-way decision making to optimize the thresholds adaptively in real-time. The advantages and the performance of the proposed model has been verified by experimental simulations with comparison to the traditional two-way decision model and the three-way decision model without threshold optimization. The experiential results have demonstrated that the performance of the proposed model has a certain advantage in detecting high threat targets. 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Highlights
In recent years, the phased array radar technology has achieved a rapid development
Common methods include resource scheduling methods based on covariance control [1 – 4], resource management algorithms based on tracking and filtering algorithms [5 – 7], and radar resource scheduling methods based on the target threat [8 – 10]
References [5] and [6] proposed an adaptive dwell time design method based on the interact multiple mode-probability data association (IMMPDA) tracking algorithm and the interacting multiple model particle filter (IMMPF) algorithm, respectively
Summary
Compared with the traditional mechanical radar, this type of radar can flexibly change the direction of the emitted wave to select a target to be illuminated, and adjust the parameters such as transmit power, dwell time and beam width These features provide the possibility to manage and optimize radar. In [7], a new method was proposed for calculating the target revisit time based on interacting multiple model (IMM) filtering algorithm. These three methods do not take into account factors such as target attributes and treat them . In this paper, it is proposed to classify targets according to the degree of threat to solve the above problems
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