Title :
Comparative Analysis of Spatial Covariance Matrix Estimation Methods in OFDM Communication Systems
Author :
Maltsev, Alexander ; Maslennikov, Roman ; Khoryaev, Alexey
Author_Institution :
Mobility Group, Intel Corp., Nizhny Novgorod
Abstract :
The performance of the orthogonal frequency division multiplexing (OFDM) communication systems may be significantly improved by use of the multiple antenna techniques. One of the multiple antenna techniques applications is the co-channel interference mitigation by exploiting the minimum mean square error (MMSE) signal detection algorithm. The realization of the algorithm requires knowledge of interference plus additive noise spatial covariance matrix (SCM) estimate for every subcarrier of the OFDM symbol. In this paper the independent SCM estimation for every subcarrier of OFDM symbol is considered first and then the algorithm is proposed for the enhancement of such estimate by taking into account the frequency correlation of the propagation channel and additional knowledge of OFDM symbol structure. As a result, it is shown that exploiting of the a priori information about the channel impulse response delay spread and symbol structure may lead to the significant improvement of the estimation accuracy
Keywords :
OFDM modulation; antenna arrays; channel estimation; cochannel interference; covariance matrices; interference suppression; least mean squares methods; signal detection; transient response; OFDM communication systems; additive noise spatial covariance matrix; channel impulse response delay spread; co-channel interference mitigation; comparative analysis; frequency correlation; minimum mean square error signal detection algorithm; multiple antenna techniques; orthogonal frequency division multiplexing communication systems; propagation channel; spatial covariance matrix estimation methods; Background noise; Covariance matrix; Frequency estimation; Interchannel interference; Mean square error methods; OFDM; Receiving antennas; Signal processing; Signal processing algorithms; Transfer functions;
Conference_Titel :
Signal Processing and Information Technology, 2006 IEEE International Symposium on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9753-3
Electronic_ISBN :
0-7803-9754-1
DOI :
10.1109/ISSPIT.2006.270862