本文關鍵詞：一種新的基于EEF準則的空間聲源個數估計算法　出處：《電子學報》2016年03期 　論文類型：期刊論文

  更多相關文章： 空間聲源個數估計 球麥克風陣列 指數嵌入族準則 最小均方差

【摘要】：針對指數嵌入族(Exponentially Embedded Families,EEF)準則在快拍數小于陣元數情況下無法估計聲源個數的問題,本文提出一種新的空間聲源個數估計算法.首先通過球麥克風陣列采集空間聲場高階信息,建立球陣列信號模型,將聲源個數估計擴展到三維空間.繼而將觀測信號空間分解為信號子空間和噪聲子空間,利用最小均方差(Minimum Mean-Squared Error,MMSE)方法估計觀測信號空間及噪聲子空間的協方差矩陣,確保矩陣估計的一致性和準確性.在此基礎上改進似然比函數,同時引入新的自由度計算,使得算法在快拍數小于陣元數的情況下能有效估計聲源個數.仿真結果表明,在進行空間聲源個數估計時,相對于EEF準則,新的算法不僅適用于快拍數小于陣元數情況,同時提高了估計準確率.
[Abstract]:This paper aims at the problem that the number of sound sources can not be estimated under the condition that the fast beat number is less than the number of array elements, and the exponential embedding family Embedded families EEF criterion can not estimate the number of sound sources. In this paper, a new algorithm for estimating the number of spatial sound sources is proposed. Firstly, the high-order information of spatial sound field is collected by the spherical microphone array, and the model of the spherical array signal is established. The estimation of the number of sound sources is extended to three dimensional space, and then the observation signal space is decomposed into signal subspace and noise subspace. The covariance matrix of observation signal space and noise subspace is estimated by minimum mean square error Mean-Squared (MMSE) method. To ensure the consistency and accuracy of matrix estimation, the likelihood ratio function is improved and a new degree of freedom calculation is introduced. The algorithm can effectively estimate the number of sound sources when the number of beats is less than the number of array elements. The simulation results show that the estimation of the number of sound sources in space is relative to the EEF criterion. The new algorithm is not only suitable for the cases where the number of beats is less than the number of elements, but also improves the accuracy of estimation.
【作者單位】： 上海大學通信與信息工程學院;
【基金】：國家自然科學基金(No.61001160) 上海市教委創(chuàng)新基金(No.12YZ023) 上海市自然科學基金(No.14ZR141500)
【分類號】：TN911.7
【正文快照】： 1引言信源個數估計是陣列信號處理的首要環(huán)節(jié),在雷達、聲納、勘探、通信和生物醫(yī)學等多個領域都有廣泛的應用.大多數信源個數估計算法都是以線陣和平面陣[1,2]為基礎建立信號模型進行個數估計.近年來,球陣逐步受到人們的重視,由于具有三維空間的旋轉對稱結構和較高的空間分辨，

本文編號：1409653