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SAGE-based algorithm for DOA estimation and array calibration in the presence of sensor location errors 被引量:1

SAGE-based algorithm for DOA estimation and array calibration in the presence of sensor location errors
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摘要 The direction of arrival(DOA) estimation problem in the presence of sensor location errors is studied and an algorithm based on space alternating generalized expectation-maximization(SAGE) is presented. First, the narrowband case is considered.Based on the small perturbation assumption, this paper proposes an augmentation scheme so as to estimate DOA and perturbation parameters. The E-step and M-step of the SAGE algorithm in this case are derived. Then, the algorithm is extended to the wideband case. The wideband SAGE algorithm is derived in frequency domain by jointing all frequency bins. Simulation results show that the algorithm achieves good convergence and high parameter estimation precision. The direction of arrival(DOA) estimation problem in the presence of sensor location errors is studied and an algorithm based on space alternating generalized expectation-maximization(SAGE) is presented. First, the narrowband case is considered.Based on the small perturbation assumption, this paper proposes an augmentation scheme so as to estimate DOA and perturbation parameters. The E-step and M-step of the SAGE algorithm in this case are derived. Then, the algorithm is extended to the wideband case. The wideband SAGE algorithm is derived in frequency domain by jointing all frequency bins. Simulation results show that the algorithm achieves good convergence and high parameter estimation precision.
出处 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2019年第6期1074-1080,共7页 系统工程与电子技术(英文版)
关键词 direction of arrival(DOA) array calibration space alternating generalized expectation-maximization(SAGE) wide band signal. direction of arrival(DOA) array calibration space alternating generalized expectation-maximization(SAGE) wideband signal
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  • 1Krim H, Viberg M. Two decades of array signal processing research. IEEE Signal Processing Magazine, 1996:67-94.
  • 2Tuan Do Hong, Peter Russer. Signal processing for wideband smart antenna array applications. IEEE Microwave Magazine, 2004: 57-67.
  • 3Max M, Shan T, Kailath T. Spatio-temporal spectral analysis by eigenstructure methods. IEEE Trans. on Acoust., Speech, Signal Processing,1984, 32: 817-827.
  • 4Wang H, Kaveh M. Coherent signal-subspace processing for the detection and estimation of angles of arrival of multiple wideband sources. IEEE Trans. On Acoust., Speech, Signal Processing, 1985, 33: 823-831.
  • 5Stavropoulos K V, Manikas A. Array calibration in the presence of unknown sensor characteristics and mutual coupling. Proceedings of European Signal Processing Conference, 2000, 3: 1417-1420.
  • 6Eric K, Hung L. Matrix-construction calibration method for antenna arrays. IEEE Trans. on Aerospace and Electronic Systems, 2000, 36(3): 819-828.
  • 7Weiss A J, Friedlander B. Array shape calibration using eigenstructure methods. Elsevier Science Publishers, Signal Processing, 1991, 22(3): 251-258
  • 8Jansson M, Swindlehurst A L, Ottersten B. Weighted subspace fitting for general array error models. IEEE Trans. on SP, 1998, 46(9): 2484-2497.
  • 9Fistas N, Manikas A. A new general global array calibration method. IEEE ICASSP, 1994, 4: 73-76.
  • 10Flanagan B P, Bell K L. Array self-calibration with large sensor position errors. Elsevier Science Publishers, Signal Processing, 2001, 81: 2201-2214.

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