An Adaptive ISAR-Imaging-Considered Task Scheduling Algorithm for Multi-Function Phased Array Radars

Abstract

In multi-function phased array radar (MFPAR) systems, time and energy resources are allocated for different tasks so that the radar can perform various missions simultaneously. An effective scheduling algorithm is crucial to optimizing the overall performance of the MFPAR. There are various existing adaptive resource scheduling methods for the allocation of radar resources, but none of them consider the mission of imaging, a very important task. In this paper, an adaptive ISAR-imagingconsidered task scheduling algorithm is proposed. Based on the sparse-aperture ISAR Compressive Sensing (CS) cognitive imaging techniques, the required resources for target imaging can be calculated from the online cognition of the target characteristics. Then the imaging mission is considered in the resource scheduling optimization model to realize adaptive allocation of radar resources and high-resolution imaging of multi targets. With the proposed algorithm, different tasks, such as tracking, searching and imaging, etc. can be implemented simultaneously, thus the radar efficiency is significantly improved. The effectiveness of the proposed method will be demonstrated by simulation experiments.

Adaptive Resource Allocation Scheme for Micromotion Feature Extraction Based on Track-Before-Detect

“…Therefore, the micromotion feature parameters P A = oa , ϕ 0 , β, ϑ, ω, v, ob , r 0 , R c can be extracted via fitting the obtained range trajectory R p k according to the mathematical expression of m-D effect (r a t , r c t , and r d t ) with the Levenberg-Marquardt method. In turn, the extracted micromotion feature parameters are utilized to 2 Journal of Sensors update the parameters of TBD adaptively. The state y k will belong to the state transition set Γ y k+1 (i.e., y k ∈ Γ y k+1 ) when it satisfies…”

“…Recently, the study on radar resource allocation has drawn extensive attention of scholars [2][3][4][5][6][7][8][9][10]. In [2], an adaptive ISAR imaging-considered task scheduling algorithm is proposed, which can improve the radar efficiency by allocating resource for target detecting, tracking, and imaging simultaneously.…”

“…In [2], an adaptive ISAR imaging-considered task scheduling algorithm is proposed, which can improve the radar efficiency by allocating resource for target detecting, tracking, and imaging simultaneously. A time window-based task scheduling approach for MFPAR is proposed in [3], with a simple but predictive heuristic approach, the latency in the schedules of lateness-sensitive tasks can be reduced and the probability of target losses can be lessened.…”

“…So far, the existing adaptive resource scheduling methods can be classified into two categories [1][2][3][4][5][6][7][8][9][10][11]: for single-type task and for multitype tasks. For single-type task, the resource allocation optimization models are usually established according to the corresponding performance metrics (such as the detection probability for the detecting tasks and the tracking accuracy for the tracking tasks).…”

ISAR Imaging Based on Multiple Measurement Vector Model Sparse Signal Recovery Algorithm

“…Due to the characteristics of long distance, all-weather and all-weather, the inverse synthetic aperture radar (ISAR) imaging technology has been widely used in military, civil, and other fields [1,2]. Generally, the wide-band signal is used to improve range resolution in ISAR imaging.…”