發(fā)布時間：2018-10-19 06:32

【摘要】：在廣義秩信號模型基礎(chǔ)上,設(shè)計了一種魯棒波束自適應(yīng)波束形成方法。通過引入分?jǐn)?shù)低階變換來抑制非高斯穩(wěn)定分布噪聲,提出脈沖噪聲環(huán)境下能夠處理信號失配的魯棒波束形成器算法,并討論了分?jǐn)?shù)低階協(xié)方差矩陣的可逆性。由于采用Frobenius范數(shù)建立明確的模型來刻畫期望陣列響應(yīng)與數(shù)據(jù)的協(xié)方差矩陣之間的不確定性,因此所提算法具有解析閉合形式解。仿真結(jié)果表明:與傳統(tǒng)波束形成算法相比,所提算法在脈沖穩(wěn)定分布噪聲和信號失配同時存在的情況時具有更好的魯棒性。
[Abstract]:Based on the generalized rank signal model, a robust adaptive beamforming method is designed. By introducing fractional low order transform to suppress non-Gao Si stable distributed noise, a robust beamformer algorithm which can deal with signal mismatch in impulse noise environment is proposed, and the reversibility of fractional low order covariance matrix is discussed. Because the uncertainty between the expected array response and the covariance matrix of the data is described by using the Frobenius norm to establish a definite model, the proposed algorithm has an analytical closed form solution. The simulation results show that the proposed algorithm is more robust than the traditional beamforming algorithm when the impulsive stable distribution noise and signal mismatch exist at the same time.
【作者單位】： 大連理工大學(xué)電子信息與電氣工程學(xué)部;大連交通大學(xué)理學(xué)院;
【基金】：國家自然科學(xué)基金(61139001,61172108,81241059)資助課題
【分類號】：TN911.7

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