DocumentCode :
2896895
Title :
Spectrally efficient maximum-likelihood detection for chaotic underdetermined MIMO systems
Author :
Morales, José Luis Lagunas ; Roy, Sébastien
Author_Institution :
LRTS, Univ. Laval, Quebec City, QC, Canada
fYear :
2010
fDate :
6-8 Oct. 2010
Firstpage :
186
Lastpage :
191
Abstract :
In this paper, we present a technique that provides spatial diversity for a Chaos Shift Keying (CSK) transceiver. The system transmits and receives chaos-based modulated signals through multiple antennas with high spectral efficiency. We show that Multiple-Input Multiple-Output (MIMO) systems greatly improve the Bit-error-rate (BER) performance of chaotic communications over the Rayleigh channel. The robustness of the method proposed herein supports signal detection over Virtual MIMO systems (N <; M). Furthermore, we discuss the performance of our proposed ML chaotic detector when perfect CSI is not available at the receiver side. A joint channel estimation and signal detection method is adapted based on the received signal subspace analysis made by which uses statistics from the entire transmitted data frame.
Keywords :
MIMO communication; Rayleigh channels; antenna arrays; channel estimation; chaotic communication; diversity reception; error statistics; maximum likelihood detection; signal detection; transceivers; CSI; ML chaotic detector; Rayleigh channel; bit error rate; chaos based modulated signals; chaos shift keying transceiver; chaotic communication; chaotic underdetermined MIMO systems; high spectral efficency; joint channel estimation; maximum-likelihood detection; multiple antennas; multiple input multiple output system; signal detection method; signal subspace analysis; spatial diversity; virtual MIMO systems; Bit error rate; Channel estimation; Chaotic communication; Detectors; MIMO; Modulation; Chaotic communications; MIMO; Virtual MIMO; channel estimation; joint detetection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Systems (SIPS), 2010 IEEE Workshop on
Conference_Location :
San Francisco, CA
ISSN :
1520-6130
Print_ISBN :
978-1-4244-8932-9
Electronic_ISBN :
1520-6130
Type :
conf
DOI :
10.1109/SIPS.2010.5624785
Filename :
5624785
Link To Document :
بازگشت