Coskun, Adem and Kale, Izzet (2009) A blind implementation of multi-dimensional matched filtering in a Maximum-Likelihood receiver for SIMO channels. In: Proceedings of the IEEE Intrumentation and Measurement Technology Conference (I2MTC '09). IEEE, pp. 633-637. ISBN 9781424433520
Official URL: http://dx.doi.org/10.1109/IMTC.2009.5168527
In order to establish the optimal receiver strategy, in terms of error rate for Single Input Multi Output (SIMO) wireless channels, the Maximum Likelihood (ML) detection should be performed following a multi-dimensional matched filter. However, the implementation of the matched filter and the ML detection both need the estimation of the channel impulse response in advance. In this work, we propose a novel method to establish the matched filters of the SIMO channel blindly alongside a three-step technique for the blind and adaptive ML detection of the symbol vector. With the use of the novel method, the system will benefit from the bandwidth efficiency point of view due to the use of blind schemes. The constant modulus algorithm is utilized to perform the blind matched filtering operation and later Least Mean Squared algorithm is introduced for further correction on the matched filter estimate. The blindly estimated matched filters are incorporated into the ML detector so that the transmitted symbols are found and therefore the channel is equalized. Simulations are provided to present the equalization performance and convergence speed of the novel technique.
|Item Type:||Book Section|
|Research Community:||University of Westminster > Electronics and Computer Science, School of|
|Deposited On:||28 Jan 2010 18:36|
|Last Modified:||12 Aug 2010 10:09|
Repository Staff Only: item control page