陣列通道不一致性誤差快速有源校正算法
doi: 10.11999/JEIT141651
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1.
(許昌學(xué)院信息工程學(xué)院 許昌 461000) ②(哈爾濱工程大學(xué)水聲工程學(xué)院 哈爾濱 150001)
基金項(xiàng)目:
國(guó)家自然科學(xué)基金(51209059, 51279043)
Fast Active Error Calibration Algorithm for Array Chanel Uncertainty
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1.
(School of Information?Engineering, Xuchang University, Xuchang 461000,China)
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2.
(College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001,China)
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摘要: 針對(duì)陣列通道不一致性引起的幅相誤差校正問(wèn)題，基于多級(jí)維納濾波器(MSWF)，該文提出幅相誤差快速校正的簡(jiǎn)化的多級(jí)維納濾波器(SMSWF)算法。SMSWF算法利用校正源的方位和波形信息對(duì)陣列幅相參數(shù)進(jìn)行估計(jì)，無(wú)需估計(jì)協(xié)方差矩陣和進(jìn)行特征值分解，大大地減小了計(jì)算量，且具有與特征分解方法相同的幅相參數(shù)估計(jì)性能。研究發(fā)現(xiàn)，單個(gè)信源入射到陣列且信源波形已知時(shí)，SMSWF算法獲得的信號(hào)子空間等價(jià)于特征分解法得到的信號(hào)子空間，這表明SMSWF算法能夠替代特征分解法，從而極大減小基于特征分解法的信號(hào)處理方法的計(jì)算量。大量計(jì)算機(jī)仿真和消聲水池試驗(yàn)驗(yàn)證了SMSWF算法的優(yōu)越性能。
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關(guān)鍵詞:
- 信號(hào)處理 /
- 陣列校正 /
- 有源校正 /
- 幅相誤差 /
- 多級(jí)維納濾波器
Abstract: Aiming the error calibration for the array channel uncertainty, a new fast algorithm named Simplified Multi-Stage Wiener Filter (SMSWF) based on the Multi-Stage Wiener Filter (MSWF) is proposed. The SMSWF takes the advantages of the DOA and the waveform of the cooperative source to estimate the gain and the phase factors, and it does not need to estimate the covariance matrix and the eigendecomposition operations. Compared with the eigendecomposition algorithm, the SMSWF has the same performance for estimating gain and phase factors while greatly reduce the complexity. The researches show that if a single source with a known waveform incidence on the array, the signal subspaces obtained by the SMSWF and one obtained by the eigendecomposition are equipollent, which demonstrate that the SMSWF is able to replace the eigendecomposition. The complexity of signal processing methods based on the eigendecomposition can greatly be reduced by replacing the eigendecomposition with the SMSWF. The extensive computer simulations and experiment in anechoice water tank show the superiori performance of the proposed algorithm. -
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