OPTIMAL POSTERIOR DENSITY APPROXIMATION FOR BEARINGS-ONLY TRACKING

被引：0

作者：

Morelande, Mark R. ^{[1
]}

Svensson, Lennart ^{[2
]}

Hagmar, Jonas ^{[3
]}

Jirstrand, Mats ^{[3
]}

机构：

[1] Univ Melbourne, Dept Elect & Elect Engn, Melbourne, Vic 3010, Australia

[2] Chalmers Univ Technol, Dept Signals & Syst, Gothenburg, Sweden

[3] Fraunhofer Chalmers Ctr, Dept Syst Biol & Bioimaging, Gothenburg, Sweden

来源：

2012 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2012年

关键词：

Nonlinear filtering; Bayesian estimation; bearings-only tracking;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

The optimal homotopy filter is a nonlinear filtering approximation which seeks an optimal parameterisation for the posterior. The search for an optimal parameterisation is performed by constructing a homotopy between the prior and posterior and solving the resulting ordinary differential equation. Here the optimal homotopy filter is applied to the problem of bearings-only tracking. A simulation analysis shows that the performance of the optimal homotopy filter compares favourably to established algorithms.

引用

页码：3585 / 3588

页数：4

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