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A constrained hybrid Cramér-Rao bound for parameter estimation
| Content Provider | Hyper Articles en Ligne (HAL) |
|---|---|
| Author | Ren, Chengfang Kernec, Julien Le Galy, Jérôme Chaumette, Eric Larzabal, Pascal Renaux, Alexandre |
| Abstract | In statistical signal processing, hybrid parameter estimation refers to the case where the parameters vector to estimate contains both non-random and random parameters. Numerous works have shown the versatility of deterministic constrained Cramér-Rao bound for estimation performance analysis and design of a system of measurement. However in many systems both random and non-random parameters may occur simultaneously. In this communication, we propose a constrained hybrid lower bound which take into account of equality constraint on deterministic parameters. The usefulness of the proposed bound is illustrated with an application to radar Doppler estimation |
| File Format | |
| Language | English French |
| Access Restriction | Open |
| Subject Keyword | Index Terms— Parameter estimation hybrid Cramér -Rao bounds equality constraints info Computer Science [cs] Signal and Image Processing |
| Content Type | Text |
| Resource Type | Article |
