Generalized Discrete Fourier Transform with Optimum Correlations

被引：3
|
作者：
Akansu, Ali N. [1 ]
Agirman-Tosun, Handan [1 ]
机构：
[1] New Jersey Inst Technol, Dept Elect & Comp Engn, Newark, NJ 07102 USA
来源：
2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING | 2010年
关键词：
Generalized Discrete Fourier Transform (GDFT); OFDM; DMT; CDMA; Auto-correlation; Cross-correlation; BER;
D O I：
10.1109/ICASSP.2010.5495746
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
In this paper, we present design methods to optimize nonlinear phase functions of Generalized DFT (GDFT) for minimized auto and cross correlations. It is shown that GDFT offers sizable correlation improvements over DFT, Walsh, and Gold codes. We conclude the paper with a multiuser communications scenario where correlation optimized GDFT outperforms DFT and other known constant modulus codes in BER metric.
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页码：4054 / 4057
页数：4
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