Von Mises/Tikhonov-based distributions for systems with differential phase measurement

被引：27
作者：
Shmaliy, YS
机构：
[1] Univ Guanajuato, FIMEE, Salamanca 36730, Mexico
[2] Kharkiv Natl Univ Radio Elect, Kharkov, Ukraine
来源：
SIGNAL PROCESSING | 2005年 / 85卷 / 04期
关键词：
differential phase measurement; probability density; error probability;
D O I：
10.1016/j.sigpro.2004.11.008
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：
The von Mises/Tikhonov probability density function (pdf) is examined to use as an approximation for the differential phase in presence of Gaussian noise in systems with differential phase measurement (DPM). It is shown that this approximation is the best fit for the phase difference between two vectors with equal signal-to-noise ratios (SNRs). The strategy is proposed to derive the approximate pdf for the case of infinite SNR in one of the vectors. Two approximating pdfs are derived for the differential phase diversity with different and equal SNRs. An application is given for the error probability in passive wireless remote SAW sensing with DPM. (c) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码：693 / 703
页数：11
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