Efficient maximum likelihood detector for MIMO systems with small number of streams

2007 ◽  
Vol 43 (22) ◽  
pp. 1212 ◽  
Author(s):  
Y. Lomnitz ◽  
D. Andelman
Keyword(s):  
Maximum Likelihood ◽  
Mimo Systems ◽  
Maximum Likelihood Detector

Detection Based on Relaxation in MIMO Systems

2009 ◽  
pp. 308-327
Author(s):  
Joakim Jaldén ◽  
Björn Ottersten
Keyword(s):  
Monte Carlo ◽  
Maximum Likelihood ◽  
Monte Carlo Simulations ◽  
Fading Channel ◽  
Error Probability ◽  
Mimo Systems ◽  
Diversity Gain ◽  
Geometrical Properties ◽  
Maximum Likelihood Detector ◽  
Implementation Aspects

This chapter takes a closer look at a class of MIMO detention methods, collectively referred to as relaxation detectors. These detectors provide computationally advantageous alternatives to the optimal maximum likelihood detector. Previous analysis of relaxation detectors have mainly focused on the implementation aspects, while resorting to Monte Carlo simulations when it comes to investigating their performance in terms of error probability. The objective of this chapter is to illustrate how the performance of any detector in this class can be readily quantified thought its diversity gain when applied to an i.i.d. Rayleigh fading channel, and to show that the diversity gain is often surprisingly simple to derive based on the geometrical properties of the detector.

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