A ZIV-ZAKAi TYPE BOUND FOR HYBRID PARAMETER ESTIMATION

被引：0

作者：

Ren, Chengfang ^{[1
]}

Galy, Jerome ^{[2
]}

Chaumette, Eric ^{[3
,4
]}

Larzabal, Pascal ^{[4
]}

Renaux, Alexandre ^{[1
]}

机构：

[1] Univ Paris 11, LSS, 3 Rue Joliot Curie, F-91192 Gif Sur Yvette, France

[2] Univ Montpellier 2, LIRMM, F-34095 Montpellier 5, France

[3] Off Natl Etud & Rech Aerosp, French Aerosp Lab, F-91123 Palaiseau, France

[4] Ecole Normale Super, SATIE, F-94235 Cachan, France

来源：

2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2014年

关键词：

Parameter estimation; Ziv-Zakai bounds; hybrid bounds; SNR threshold; BARANKIN;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

In statistical signal processing, hybrid parameter estimation refers to the case where the parameters vector to estimate contains both non-random and random parameters. In this communication, we propose a new hybrid lower bound which, for the first time, includes the Ziv-Zakai bound well known for its tightness in the Bayesian context (random parameters only). For the general case of parameterized mean model with Gaussian noise, closed-form expressions of the proposed bound are provided.

引用

页数：5

共 20 条

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