A Bayesian network (BN) decoder for direct-conversion microwave and millimeter-wave six-port receivers (SPRS)

被引：0
|
作者：
Mireux, O [1 ]
Brault, JJ [1 ]
Bosisio, RG [1 ]
机构：
[1] Ecole Polytech, Dept Genie Elect & Genie Informat, Ctr Rech Polygrames, Montreal, PQ H3V 1A2, Canada
来源：
MICROWAVE AND OPTICAL TECHNOLOGY LETTERS | 2001年 / 30卷 / 01期
关键词：
Bayesian network; K-means; learning algorithms; six-port receiver; bit error rate;
D O I：
10.1002/mop.1212
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：
In this paper learning algorithms are used io decode QPSK data in a direct-conversion hardware (QPSK-unimode) microwave / millimeter wave receiver using an application-specific six-port module. Two different algorithms, the K-means and Bayesian network, are considered for operation of the decoder to recover IQ data from QPSK modulated signals. Bit-error-rate (BER) results versus noise level (E-b /N-0) are presented after a brief data-collecting period involving fewer than 500 data points. Results of the Bayesian network for Eb / Ng = -3 dB and Eb / Ng = - 9 dB are presented, using the same data-gathering period. (C) 2001 John Wiley & Sons, Inc.
引用
收藏
页码：33 / 38
页数：6
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