Title :
Tracking of MIMO channel in the presence of unknown interference
Author :
Devi, M.V. ; Gowthami, K. ; Selvaganesan, N.
Author_Institution :
Dept. of Avionics, Indian Inst. of Space Sci. & Technol., Trivandrum, India
Abstract :
In this paper, Filtering based Recursive Least Square (F-RLS) algorithm is used to track the MIMO channel in the presence of spatially and temporally correlated interference. Here interference signal is considered as noise whose auto correlation function is a non-diagonal matrix(color noise). The LS technique gives biased estimate for color noise. So filtering based LS technique is used to give unbiased estimate for the above scenario. Considering the time varying nature of the system, filtering based RLS algorithm is used to track the channel. The tracking capability of this algorithm is measured in terms of Average Mean Square Error (MSE). Simulation result also supports the tracking capability of the algorithm for fixed channel and time varying channel in the presence of interference.
Keywords :
MIMO communication; filtering theory; mean square error methods; radiofrequency interference; MIMO channel tracking; MSE; auto correlation function; color noise; filtering based LS technique; filtering based recursive least square algorithm; interference signal; mean square error; spatially correlated interference; temporally correlated interference; time varying channel; Channel estimation; Interference; MIMO; Mathematical model; Receivers; Training; Vectors; Filtering based RLS; Interference channel; MIMO; RLS algorithm;
Conference_Titel :
India Conference (INDICON), 2014 Annual IEEE
Conference_Location :
Pune
Print_ISBN :
978-1-4799-5362-2
DOI :
10.1109/INDICON.2014.7030653