Multi-channel multi-variate equalizer design

被引：11

作者：

Rajagopal, R ^{[1
]}

Potter, L ^{[1
]}

机构：

[1] Ohio State Univ, Dept Elect Engn, Columbus, OH 43210 USA

来源：

MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING | 2003年 / 14卷 / 1-3期

关键词：

MIMO polynomial inverse; Grobner basis; filter orders; channel equalization; polarimetric radar calibration; wide-band radar;

D O I：

10.1023/A:1022273009065

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The polarimetric calibration of synthetic aperture radar (SAR) imagery requires the equalization of a multiple-input, multiple-output (MIMO) distortion system. For wide-band, wide-angle SAR systems, the distortion is frequency and angle dependent and can be accurately modelled as a two-dimensional finite impulse response (FIR) filter bank. This paper presents a design algorithm, using a Grobner basis, to compute a FIR filter bank that exactly inverts the multi-channel distortion. The results presented for polynomial inversion of MIMO FIR systems hold for sampled data signals of arbitrary dimension.

引用

页码：105 / 118

页数：14

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