Performance Analysis of Different Inverse Filter Design Techniques
Journal: International Journal of Scientific Engineering and Technology (IJSET) (Vol.2, No. 5)Publication Date: 2013-05-01
Authors : Kulkarni Pranav R. A.V. Datar Ajinkya Deshmukh R.D.Patil;
Page : 424-430
Keywords : Inverse filter; Channel equalization; least square method; Wiener-Hopf equations; Wiener IIR filters; LMS algorithm.;
Abstract
In modern communication technology design of inverse filter i.e. channel equalizer on receiver side is important in order to combat the effects of channel distortion. In this paper we address different approaches of inverse filter design. The different approaches used are based on second order statistics methods such as Shank’s algorithm, Wiener- Hopf equations (both FIR and IIR), LMS algorithm. We have have modeled communication channel as FIR filter as most of the communication channels can be modeled as FIR channel and followed above mentioned approaches to design an inverse filter in order to get back best estimate of original source signal. Simulation results show performance of these with respect to computational complexity, inverse filter order and SNR vs. BER plots. Above effects have been observed for different channel distortion values
Other Latest Articles
- An Innovative Approach to File Security Using Bluetooth
- Feasibility Study of Fenton Method for the Treatment of Dyeing and Printing Mill Wastewater
- Rainfall Water Runoff Determination Using Land Cover Classification of Satellite Images For Rain Water Harvesting Application
- Performance Evaluation of Evolutionary Algorithms for Digital Filter Design
- A review of Power Quality Problems-Voltage Sags for Different Faults
Last modified: 2013-05-24 22:21:16