Radar Coincidence Imaging under Grid Mismatch. (17th April 2014)

• Record Type: Journal Article
• Authors: Li, Dongze; Li, Xiang; Cheng, Yongqiang; Qin, Yuliang; Wang, Hongqiang
• Other Names: Buciu I. Academic Editor.; Gunturk B. K. Academic Editor.
• Is Part Of: ISRN signal processing. Volume 2014(2014)
• Publication Date: 2014-04-17
• Subjects: Signal processing -- Periodicals; Signal processing; Periodicals; 621.3822
• DOI: 10.1155/2014/987803
• Languages: English
• ISSNs: 2090-5041

Abstract

Abstract : Radar coincidence imaging is an instantaneous imaging technique which does not depend on the relative motion between targets and radars. High-resolution, fine-quality images can be obtained using a single pulse either for stationary targets or for complexly maneuvering ones. There are two image-reconstruction algorithms used for radar coincidence imaging, that is, the correlation method and the parameterized method. In comparison with the former, the parameterized method can achieve much higher resolution but is seriously sensitive to grid mismatch. In the presence of grid mismatch, neither of the two algorithms can obtain recognizable high-resolution images. The above problem largely limits the applicability of radar coincidence imaging in actual imaging scenes where grid mismatch generally exists. This paper proposes a joint correlation-parameterization algorithm, which uses the correlation method to estimate the grid-mismatch error and then iteratively modifies the results of the parameterized method. The proposed algorithm can achieve high resolution with fine imagery quality under the grid mismatch. Examples are provided to illustrate the improvement of the proposed method.