Open AccessCompressive detection of direct sequence spread spectrum signals
Author(s) -
Liu Feng,
Marcellin Michael W.,
Goodman Nathan A.,
Bilgin Ali
Publication year - 2018
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2018.6280
Subject(s) - direct sequence spread spectrum , spread spectrum , compressed sensing , computer science , electronic engineering , bandwidth (computing) , interference (communication) , signal (programming language) , algorithm , telecommunications , code division multiple access , engineering , channel (broadcasting) , programming language
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.