Title :
Selective Interference Cancellation using Kalman Filtering
Author :
Pudeyev, A. ; Maltsev, A. ; Rubtsov, A. ; Tiraspolsky, S.
Author_Institution :
Intel Corp., Nizhny Novgorod
Abstract :
In present paper we have investigated a co-channel interference cancellation technique based on the tracking a limited number of strongest interferers only. With the assumption of synchronous base stations operation with overlapping but different training signals (pilots). Kalman filtering may be used for interfering channels estimation and further calculation of interference correlation matrix. This correlation matrix estimate is exploited in ZF or MMSE based interference cancellation scheme. Developed approach for synchronous interference mitigation may be used in next generation of the WiMAX systems.
Keywords :
Kalman filters; WiMax; channel estimation; filtering theory; interference suppression; matrix algebra; mean square error methods; radiofrequency interference; Kalman filtering; WiMAX systems; cochannel interference cancellation; interference correlation matrix; interfering channels estimation; selective interference cancellation; synchronous interference mitigation; Additive white noise; Background noise; Base stations; Downlink; Filtering; Gaussian noise; Interchannel interference; Interference cancellation; Kalman filters; WiMAX; Kalman filtering; Mobile and wireless vehicular communication systems (Mobile WiMAX); OFDM(A); interference cancellation;
Conference_Titel :
Wireless Communication Systems, 2006. ISWCS '06. 3rd International Symposium on
Conference_Location :
Valencia
Print_ISBN :
978-1-4244-0398-1
Electronic_ISBN :
978-1-4244-0398-1
DOI :
10.1109/ISWCS.2006.4362251
