Zhang T T, Lu Y L, and Hui H T. Compensation for themutual coupling effect in uniform circular arrays for 2D DOAestimations employing the maximum likelihood technique[J].IEEE Transactions on Aerospace and Electronic Systems.2008, 44(3):1215-1221[2]Forster P, Larzabal P, and Boyer E. Threshold performanceanalysis of maximum likelihood DOA estimation[J].IEEETransactions on Signal Processing.2004, 52(11):3183-3191[3]Li Ming-hui and Lu Yi-long. Maximum likelihood DOAestimation in unknown colored noise fields[J].IEEETransactions on Aerospace and Electronic Systems.2008,44(3):1079-1090[4]Park Cheol-Sun, Choi Jun-Ho, and Yang Jong-Won, et al..Direction of arrival estimation using weighted subspacefitting with unknown number of signal sources. Proc. 11thInternational Conference on Advanced CommunicationTechnology, Phoenix Park, Dublin, Feb.15-18, 2009:2295-2298.[5]Jian C, Wang S, and Lin L. Two-dimensional DOAestimation of coherent signals based on 2D Unitary ESPRITmethod. Proc. 8th International Conference on SignalProcessing, Beijing, China, 2006: 16-20.[6]Gao Fei-fei, Nallanathan A, and Wang Yi-de. ImprovedMUSIC under the coexistence of both circular andnoncircular sources[J].IEEE Transactions on Signal Processing.2008, 56(7):3033-3038[7]Zoltowski M D and Lee T S. Maximum likelihood basedsensor array signal processing in the beamspace domain forlow angle radar tracking[J].IEEE Transactions on SignalProcessing.1991, 39(3):656-671[8]Bobin J, Starck J L, and Fadili J, et al.. Sparsity andmorphological diversity in blind source separation[J].IEEETransactions on Image Processing.2007, 16(11):2662-2674[9]Cheng Ping, Jiang Yi-cheng, and Xu Rong-qing. ISARimaging based on sparse signal representation with multiplemeasurement vectors. Proc. Int. Conf. Radar, Shanghai,China, Oct. 16-19, 2006: 1-4.[10]Pisharody G and Weile D S. Robust solution of time-domainintegral equations using loop-tree decomposition andbandlimited extrapolation. IEEE Transactions on Antennasand Propagation. 2005, 53(6): 2089-2098.[11]Gorodnitsky I F and Rao B D. Sparse signal reconstructionfrom limited data using FOCUSS: A re-weighted minimumnorm algorithm[J].IEEE Transactions on Signal Processing.1997, 45(3):600-616[12]Wipf D P and Rao B D. Bayesian learning for sparse signalreconstruction. Proc. IEEE ICASSP., La Jolla, CA, Apr.6-10,2003: 601-604.[13]Cotter S F, Rao B D, and Kjersti Engan, et al.. Sparsesolutions to linear inverse problems with multiplemeasurement vectors[J].IEEE Transactions on SignalProcessing.2005, 53(7):2477-2488[14]Malioutov D, Cetin M, and Willsky A S. A sparse signalreconstruction perspective for source localization with sensorarrays[J].IEEE Transactions on Signal Processing.2005, 53(8):3010-3022[15]Rao B D, Engan K, and Cotter S F, et al.. Subset selection innoise based on diversity measure minimization[J].IEEETransactions on Signal Processing.2003, 51(3):760-770[16]Sacchi M D, Ulrych T J, and Walker C J. Interpolation anextrapolation using a high-resolution discrete Fouriertransform[J].IEEE Transactions on Signal Processing.1998,46(1):31-38[17]Chen P, Wu T J, and Yang J. A comparative study of modelselection criteria for the number of signals[J].IET Radar, Sonar Navigation.2008, 2(3):180-188[18]Huang Lei, Wu Shun-jun, and Li Xia. Reduced-rank MDLmethod for source enumeration in high-resolution arrayprocessing[J].IEEE Transactions on Signal Processing.2007,55(12):5658-5667[19]Huang Lei, Long Teng, and Wu Shun-jun. Sourceenumeration for high-resolution array processing usingimproved gerschgorin radii without eigendecomposition[J].IEEE Transactions on Signal Processing.2008, 56(12):5916-5925
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