Title :
Extended jointly Gaussian approach for MIMO multipath channels
Author :
Jar, Marcel ; Schlegel, Christian
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada
Abstract :
In this paper, an extension of the jointly Gaussian approach (JGA) to detect signals transmitted over a multiple-input multiple-output (MIMO) multipath channel is presented. This method, dubbed extended JGA, enhances the performance of the JGA by performing a marginalization over some interfering terms before applying the jointly Gaussian assumption to remove the residual interference. Hence, it can improve the performance of a communication system at the expense of a controllable increase in the computational complexity. The signal-to-noise-plus-interference ratio (SINR) at the detector´s output is analyzed to indicate how much the extended JGA method can enhance the system´s performance. Bit error rate (BER) curves are used to corroborate the gain in performance pointed by the SINR analysis for realistic MIMO scenarios.
Keywords :
Gaussian processes; MIMO communication; communication complexity; error statistics; multipath channels; radiofrequency interference; signal detection; JGA method; MIMO multipath channel; SINR analysis; bit error rate; communication system; computational complexity; jointly Gaussian approach; multiple-input multiple-output multipath channel; residual interference; signal-to-noise-plus-interference ratio; system performance; transmitted signal detection; Complexity theory; Interference;
Conference_Titel :
Turbo Codes and Iterative Information Processing (ISTC), 2010 6th International Symposium on
Conference_Location :
Brest
Print_ISBN :
978-1-4244-6744-0
Electronic_ISBN :
978-1-4244-6745-7
DOI :
10.1109/ISTC.2010.5613808