本文選題：MIMO聲納　切入點(diǎn)：方位估計(jì)　出處：《應(yīng)用聲學(xué)》2017年02期 　論文類型：期刊論文

【摘要】：實(shí)際多輸入多輸出(MIMO)聲納系統(tǒng)由于環(huán)境或人為因素,可能出現(xiàn)部分陣元失效,從而導(dǎo)致陣列自由度減少、方位估計(jì)精度下降。本文提出了一種數(shù)據(jù)協(xié)方差矩陣重構(gòu)方法,該方法基于差分陣列性質(zhì),利用正常工作陣元的協(xié)方差矩陣元素來(lái)恢復(fù)失效陣元的矩陣元素,獲得滿秩的數(shù)據(jù)協(xié)方差矩陣,從而恢復(fù)到全陣元MIMO聲納的陣列自由度。與已有方法相比,降低了計(jì)算復(fù)雜度。仿真及海試實(shí)驗(yàn)數(shù)據(jù)處理結(jié)果表明,本文所提的數(shù)據(jù)協(xié)方差矩陣重構(gòu)方法能夠恢復(fù)因部分陣元失效而丟失的陣列自由度,應(yīng)用于方位估計(jì)中,所能分辨的最大目標(biāo)數(shù)與全陣元相同。
[Abstract]:Due to environmental or human factors, partial array element failure may occur in practical multi-input multi-output MIMO-sonar system, which results in the reduction of array freedom and the decrease of azimuth estimation accuracy. In this paper, a data covariance matrix reconstruction method is proposed. Based on the properties of the difference array, the covariance matrix element of the normal working element is used to restore the matrix element of the failure element, and the full rank data covariance matrix is obtained. Thus, the array degree of freedom of the full array element MIMO sonar is restored. Compared with the existing methods, the computational complexity is reduced. The results of simulation and sea trial data processing show that, The data covariance matrix reconstruction method proposed in this paper can recover the lost degree of freedom of the array due to the failure of some array elements. The maximum number of targets that can be resolved in the azimuth estimation is the same as that of the full array element.
【作者單位】： 海軍駐沈陽(yáng)地區(qū)電子系統(tǒng)軍事代表室;中國(guó)科學(xué)院聲學(xué)研究所聲場(chǎng)聲信息國(guó)家重點(diǎn)實(shí)驗(yàn)室;中國(guó)人民解放軍92330部隊(duì);中國(guó)科學(xué)院大學(xué);
【基金】：國(guó)家自然科學(xué)基金項(xiàng)目(61571436,11434012,41561144006)
【分類號(hào)】：TB56

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本文編號(hào)：1602395