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Lookup NU author(s): Mohammed Dahiru Buhari,
Professor Gui Yun TianORCiD,
Dr Rajesh Tiwari,
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In Synthetic Aperture Radar (SAR) image reconstruction, the quality of the image depends on the range and cross range resolution to resolve multiple target positions. If the distance between the targets is less than both SAR resolutions, the radar imaged them as one single target. To overcome this challenge, Orthogonal Frequency Division Multiplexing (OFDM) SAR has been proposed to improve the image resolution. However the image quality degrades in lower boundary conditions. In this paper, we propose the use of Multiple Signal Classification (MUSIC) algorithm to estimate the signal Direction of Arrival (DoA) and Least Square Estimation (LSE) algorithm to estimate the phase history. The Cross-range Profile Reconstruction (CPR) is reconstructed using the phase history and combined with Range Profile Reconstruction (RPR) to form the image. Simulation results show that the proposed MUSIC-LSE SAR approach gives a higher image resolution compared to the LSE-SAR imaging. The approach also shows that by estimating the signal DoA and then apply LSE, the radar can separate the targets even at distances below the range and cross-range resolution without necessarily increasing the bandwidth.
Author(s): Buhari MD, Tian GY, Tiwari R, Sutthaweekul R, Mugaibel AH
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa)
Year of Conference: 2016
Online publication date: 17/11/2016
Acceptance date: 02/04/2016
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