Compressive detection of direct sequence spread spectrum signals

Feng Liu, Michael W. Marcellin, Nathan A. Goodman, Ali Bilgin

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)1379-1381
Number of pages3
JournalElectronics Letters
Issue number24
StatePublished - Nov 29 2018

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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