Modification of reconstruction threshold algorithm in two-dimensional LFMCW compressive radar

• Published in: Journal of Electrical Systems and Information Technology Vol. 9; no. 1; pp. 1 - 14
• Main Author: Ghanem, Sameh
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 28.04.2022; SpringerOpen
• Subjects: Adaptive CA-CFAR; Compressive Sensing; Engineering; FMCW Radar; Mechanical Engineering; Range-Doppler processing; Reconstruction CAMP algorithm; FMCW Radar; Reconstruction CAMP algorithm; Compressive Sensing; Range-Doppler processing; Adaptive CA-CFAR
• ISSN: 2314-7172; 2314-7172
• DOI: 10.1186/s43067-022-00047-0

Nowadays, the Compressive Sensing theory has an important effect on many communication system’s performances, and one of these applications is the radar system. Applying CS in the radar such as Linear Frequency Modulation Continuous Wave (LFMCW) radar signals has many advantages but suffers from the processing time in the two-dimensional processing. The performance of the LFMCW radar signals is achieved by using both conventional Complex Approximate Message Passing (CAMP) and adaptive recovery algorithms using a suitable reduction factor in both range and Doppler directions. In this paper, a modification is made to the adaptive CAMP algorithm to enhance the radar detection performance compared to both the conventional and adaptive algorithms under the same conditions. One of the main problems in radar detection is off-pin targets, which can be overcome using a certain filter in both range and Doppler directions. A comparison is achieved among these algorithms concerning detection performance using Receiver Operating Characteristic curves and the resolution performance in both range and Doppler directions. During the system analysis, it was found that an enhancement was achieved using the modified algorithm in the radar performance without any degradation in both range and Doppler resolution compared with the other algorithms.