Abstract:
Compressive sensing is a novel approach for data acquisition at a sub-Nyquist rate. In this paper, we propose an algorithm using S-transform basis functions to adaptively...Show MoreMetadata
Abstract:
Compressive sensing is a novel approach for data acquisition at a sub-Nyquist rate. In this paper, we propose an algorithm using S-transform basis functions to adaptively sample pulse radar signals based on compressive sensing. Based on prior information from previously received pulse intervals, the algorithm adaptively samples the current interval at different resolutions. Exploiting the S-transform's ability to extract phase information and its time and frequency localization properties, the proposed algorithm achieves target range and Doppler frequency detection in a significantly reduced processing time compared to competitor approaches. The simulation results using the receiver operating characteristic (ROC) curves shows the proposed algorithm performance in different scenarios.
Date of Conference: 05-07 July 2017
Date Added to IEEE Xplore: 23 October 2017
ISBN Information: