Compressive detection of direct sequence spread spectrum signals. Issue 24 (1st November 2018)

• Record Type: Journal Article
• Authors: Liu, Feng; Marcellin, Michael W.; Goodman, Nathan A.; Bilgin, Ali
• Is Part Of: Electronics letters. Volume 54:Issue 24(2018)
• Page Start: 1379
• Page End: 1381
• Publication Date: 2018-11-01
• Subjects: spread spectrum communication -- compressed sensing -- interference suppression -- signal detection -- code division multiple access -- codes; direct sequence spread spectrum signals -- spread spectrum communications -- input signal -- direct sequence SS -- compressive detection framework -- compressive measurement kernels -- DSSS signal structure -- nonuniform usage -- noncooperative compressive detection techniques -- spreading codes; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2018.6280
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : In spread spectrum (SS) communications, the input signal is spread over a wider bandwidth to avoid interference or interception. One of the most common SS techniques is direct sequence SS (DSSS). In this Letter, the authors propose non‐cooperative compressive detection techniques for DSSS signals. The proposed compressive detection framework allows the use of random as well as designed measurement kernels. A technique for designing compressive measurement kernels which exploit DSSS signal structure and non‐uniform usage of spreading codes is proposed. Theoretical and simulation results are provided to compare the performance of the proposed methods with their conventional counterparts.