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貝葉斯估計器先驗?zāi)P蛥?shù)的迭代感知方法

鄒鯤 張斌 王曉薇 林澄清

鄒鯤, 張斌, 王曉薇, 林澄清. 貝葉斯估計器先驗?zāi)P蛥?shù)的迭代感知方法[J]. 電子與信息學(xué)報, 2015, 37(6): 1402-1408. doi: 10.11999/JEIT141012
引用本文: 鄒鯤, 張斌, 王曉薇, 林澄清. 貝葉斯估計器先驗?zāi)P蛥?shù)的迭代感知方法[J]. 電子與信息學(xué)報, 2015, 37(6): 1402-1408. doi: 10.11999/JEIT141012
Zou Kun, Zhang Bin, Wang Xiao-wei, Lin Cheng-qing. Iterated Cognition Method for Prior Model Parameters of Bayesian Estimator[J]. Journal of Electronics & Information Technology, 2015, 37(6): 1402-1408. doi: 10.11999/JEIT141012
Citation: Zou Kun, Zhang Bin, Wang Xiao-wei, Lin Cheng-qing. Iterated Cognition Method for Prior Model Parameters of Bayesian Estimator[J]. Journal of Electronics & Information Technology, 2015, 37(6): 1402-1408. doi: 10.11999/JEIT141012

貝葉斯估計器先驗?zāi)P蛥?shù)的迭代感知方法

doi: 10.11999/JEIT141012
基金項目: 

國家自然科學(xué)基金(61273408, 61302153)和航空創(chuàng)新基金資助課題

Iterated Cognition Method for Prior Model Parameters of Bayesian Estimator

  • 摘要: 充分利用先驗信息是提高統(tǒng)計推斷性能的有效途徑之一。貝葉斯估計的先驗信息模型參數(shù)必須在設(shè)計階段確定下來,與待探測環(huán)境模型參數(shù)之間必然存在不一致性,從而有可能導(dǎo)致估計質(zhì)量的下降。該文首先給出了基于估計性能的先驗?zāi)P蛥?shù)感知的一般性框架?;谠摽蚣?,針對白高斯噪聲中直流信號的貝葉斯估計器,分析了先驗失配條件下的估計性能,給出了一種先驗?zāi)P蛥?shù)迭代感知的算法。利用計算機仿真分析了該估計器性能對先驗?zāi)P蛥?shù)的敏感性和穩(wěn)健性,分析了不同條件下的迭代感知過程。計算機仿真結(jié)果表明,該文給出的迭代感知方法建立了從估計性能到先驗?zāi)P蛥?shù)的反饋,通過估計器與待探測場景的多次交互,可以使得先驗?zāi)P团c當(dāng)前場景模型匹配。
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出版歷程
  • 收稿日期:  2014-07-28
  • 修回日期:  2015-02-28
  • 刊出日期:  2015-06-19

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