Non-parametric trellis equalization in the presence of non-Gaussian interference

被引：2

作者：

Luschi, C ^{[1
]}

Mulgrew, B ^{[1
]}

机构：

[1] Lucent Technol, Bell Labs, Unit 1, Swindon SN5 7YT, Wilts, England

来源：

PROCEEDINGS OF THE TENTH IEEE WORKSHOP ON STATISTICAL SIGNAL AND ARRAY PROCESSING | 2000年

关键词：

D O I：

10.1109/SSAP.2000.870111

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We consider the problem of equalization of the frequency selective mobile radio channel in the presence of co-channel interference (CCI). Conventional trellis equalizers treat the sum of noise and interference as additive white Gaussian noise, while CCI is generally a colored non-Gaussian process. We propose a non-parametric approach based on the estimation of the probability density function of the noise-plus-interference. Given the availability of a limited volume of data, the density is estimated by kernel smoothing techniques. Due to the temporal color of the CCI, the use of a whitening filter is also addressed. Simulation results are given for the GSM system, showing a significant performance improvement with respect to the equalizer based on the Gaussian assumption.

引用

页码：201 / 205

页数：5

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