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.
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页数：5
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