一种未知信源数的高分辨DOA估计算法
doi: 10.3724/SP.J.1146.2006.01020
Algorithm on High Resolution DOA Estimation without Sources Number
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摘要: 众多性能优良的超分辨波达方向(DOA)估计算法通常需要预先判定信源数目，然而，现有的信源数估计算法在有限采样快拍条件下，估计性能随着信噪比的降低而下降，错误概率也相应增加，最终导致DOA估计失败。该文提出一种超分辨的DOA估计算法，此算法不需要预判信源个数和进行特征值分解，同时在时变环境中，针对快拍数较少的情况下，依然保持较高的角度分辨能力，可以被认为是综合了Capon法和MUSIC法的优点。通过对实验数据和实测数据的计算机仿真及性能分析可得，与传统算法相比较，该算法有很好的鲁棒性和可行性。Abstract: Many of the super resolution DOA(Direction-Of-Arrival) estimation algorithms presume the number of signal sources. Since the sample snapshot is limited, however, the available algorithms on source number estimation may fail at lower SNR. In this paper, a novel algorithm for high resolution DOA estimation is proposed, which not only skips sources number estimation and EVD, but also behaves satisfactorily with a few snapshot, it may be viewed as a combination of merit of conventional Capon and MUSIC method. The algorithms feasibility and robustness are analyzed and verified by the simulation and actual experiment data.
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Van Trees Harry L. Optimum Array Processing：Part Ⅳ ofDetection, Estimation, and Modulation Theory. New York:Wiley, 2002: 1139-1285.[2]Barabell A J. Improving the resolution of eigenstructuredbased direction finding algorithms. Proc. ICASSP, Boston,MA, 1983: 336-339.[3]Schmidi R O. Multiple emitter location and signal parameterestimation. IEEE Trans. on AP, 1986, 34(3): 243-258.[4]Roy R and Kailath T. ESPRIT Estimation of signalparameters via rotational invariance techniques. IEEE Trans.on ASSP, 1989, 38(7): 984-995.[5]Viberg M, Ottersten B, and Kailath T. Detection andestimation in sensor arrays using weighted subspace fitting[J].IEEE Trans. on SP.1991, 39(11):2436-2449[6]Wax M and Kailath T. Detection of signals by informationtheoretic criteria[J].IEEE Trans. on ASSP.1985, 33(2):387-392Wax M and Kailath T. Detection of signals by informationtheoretic criteria[J].IEEE Trans. on ASSP.1985, 33(2):387-392 -
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