Research On The Adaptive Equalization Theory And Application For The Wireless Communication

Inter symbol interference is regard of transporting the high rate data main obstacle in the wireless mobile channel. To get rid of the channel distortion, using a kind of channel equalization' s signal process technology. Its intentions comeback original signal by use of filter or other technology, get rid of the influence of ISI. Thus the credibility of data is improve. In fact, a kind of equalization filter can track variational channel; we need look for a kind of high velocity adaptive algorithm in practical digital Transporting system. Therefore we investigate adaptive equalization algorithm and adaptive equalization filter with important theoretic and realism significanceAll of the research work of this paper is based on the MATLAB software environment. In this paper, we make an introduction on the origin, development and research actuality of the Adaptive Equalization technology. After that, we describe the Adaptive Equalization filter theory concisely. At last, we do some research work on the estimation algorithm of the Adaptive Equalization filter. The research work is based on the finite-duration impulse response of oblong adaptive filter and steady adaptive equalization system. The advanced research work of this paper is: we realize traditional LMS, DCT-LMS and RLS estimation algorithm on the MATLAB software environment and show the quantif icational correlation between the adaptive equalization filter algorithm' s near-far track and filter length and channel distortion and algorithm' s parameter. For these we design a practical significance simulation's model. Last, gain a simulation's result and analysis its signification and compare the performance of between the DCT-LMS and the tradition LMS algorithms and between the tradition LMS and the RLS algorithms. On this basis, we investigate primarily discrete cosine transform LMS algorithms. The adaptive equalization filter' s signals by means of di screte cosine transform, may improve the DCT-LMS algorithm' s astringency without increasing its complication. Thus the adaptive equalization filter algorithm' s performance is improved.