Blind estimation of direct sequence spread spectrum signals in multipath

Michail K. Tsatsanis, Georgios B. Giannakis

Research output: Contribution to journalArticlepeer-review

100 Scopus citations

Abstract

Self-recovering receivers for direct-sequence spreadspectrum signals with unknown spreading codes are discussed in this paper. Applications include signal interception, jamming, and low probability of intercept (LPI) communications. A multirate/multichannel, discrete-time model of the spread spectrum signal is introduced, which establishes links with array processing techniques. Borrowing blind channel estimation ideas, which were originally developed in the context of fractionally spaced equalizers or receivers with multiple antennas, linear solutions are obtained that are independent of the input distribution. The signal interception problem is further studied, and a zero-forcing (ZF) receiver/equalizer is proposed to recover the transmitted data. Its performance is analyzed, and some illustrative simulations are presented.

Original languageEnglish (US)
Pages (from-to)1241-1252
Number of pages12
JournalIEEE Transactions on Signal Processing
Volume45
Issue number5
DOIs
StatePublished - Dec 1 1997

Fingerprint Dive into the research topics of 'Blind estimation of direct sequence spread spectrum signals in multipath'. Together they form a unique fingerprint.

Cite this