A comparison of two blind equalization algorithms for broadband indoor wireless communications

Abstract

A performance comparison of the constant modulus algorithm (CMA) and the stop-and go algorithm (SGA) for blind adaptive equalization is presented. The performance evaluation is provided under indoor wireless channels using both transient and steady-state behaviors of the mean square error (MSE). A channel model is developed based on spectral observations of the unlicensed U-NII frequency band. The channel is time-varying and exhibits frequency selective fading. A receiver is implemented as two feed forward equalizers with one decision feedback equalizer. While the CMA is successful in achieving good performance, the SGA is much superior and more robust in low signal-to-noise ratio environments.