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Abstract
This paper addresses the problem of ground moving target relocation (GMTR) for airborne dual-channel wide-area radar systems. The monopulse technique can be utilized to perform GMTR. However, in real conditions, the GMTR performance degrades greatly due to the effect of channel mismatch. To tackle this problem, prior knowledge of the antenna pattern information is fully utilized to improve the GMTR performance, and a knowledge-aided GMTR algorithm (KA-GMTR) for airborne dual-channel wide-area radar is proposed in this paper. First, the GMTR model for the two receiving channels is analyzed. The channel mismatch model is constructed, and its expression is derived. Then, the channel mismatch phase error is well estimated by exploiting the prior antenna pattern information based on the least squares (LS) method. Meanwhile, the knowledge-aided monopulse curve (KA-MPC) is derived to perform the direction of arrival (DOA) estimation for potential targets. Finally, KA-GMTR, based on the KA-MPC, is performed to estimate the azimuth offsets and relocate the geometry positions of the potential targets when channel mismatch occurs. Moreover, the target relocation performance is analyzed, and the intrinsic reason that degrades the target relocation accuracy is figured out. The performance assessment based on airborne real-data, also in comparison to the conventional GMTR method, has demonstrated that our proposed KA-GMTR algorithm offers preferable target relocation results under channel mismatch scenarios.
Highlights
Airborne wide-area radar [1,2,3,4,5,6] has the advantages of large coverage areas and a high revisit ratio, which has been successfully used in military surveillance [1,2,3] and traffic control [4,5,6] in recent years
Considering the fact that plenty of airborne dual-channel wide-area radars are still in service, we focus on performing ground moving target relocation (GMTR) based on the monopulse technique
The airborne results are provided to validate the effectiveness of the this section, airborne results provided validate effectiveness In thethe airborne results areare provided to to validate thethe effectiveness of of thethe proposed knowledge-aided GMTR algorithm (KA-GMTR) algorithm
Summary
Airborne wide-area radar [1,2,3,4,5,6] has the advantages of large coverage areas and a high revisit ratio, which has been successfully used in military surveillance [1,2,3] and traffic control [4,5,6] in recent years. The target relocation problem in airborne wide-area radar is first analyzed in [6], and the flowchart to process the GMTI data for each antenna look direction and each scan is introduced in detail. Considering the fact that plenty of airborne dual-channel wide-area radars are still in service, we focus on performing GMTR based on the monopulse technique. Based on the DOA estimation results, the proposed KA-GMTR method can relocate the azimuth position of the potential targets in the case of channel mismatch. Airborne real-data experimental results demonstrate that the proposed KA-GMTR method can effectively concentrate the tracks of the potential targets and decrease the false alarm in the channel mismatch scenarios.
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