Quadratic estimation of multivariate signals from randomly delayed measurements

被引:14
作者
Nakamori, S
Hermoso-Carazo, A
Linares-Pérez, J
机构
[1] Kagoshima Univ, Fac Educ, Dept Technol, Kagoshima 8900065, Japan
[2] Univ Granada, Dpto Estadist & IO, Granada, Spain
关键词
multivariate signal estimation; least-squares; delayed measurement;
D O I
10.1007/s11045-005-4127-2
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper discusses the least-squares quadratic estimation problem of a multivariate discrete signal, from noisy measurements which can be delayed by one sampling period. The delay in the observations is assumed to be random and the probability of a delay in each measurement is known. The quadratic recursive estimation algorithm, which uses only the delay probabilities and the moments (up to fourth-order) of the signal and noise-measurement, is derived from a linear estimation algorithm for a suitably defined augmented system.
引用
收藏
页码:417 / 438
页数:22
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