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第 44 卷 第 2 期           明超等: 结合有限新息率重构的水声宽带信号方位估计方法                                          433


                                                                 [4] Gerstoft P, Mecklenbräuker C F, Xenaki A, et al. Multi-
                  10 1
                                                                   snapshot sparse Bayesian learning for DOA[J]. IEEE Sig-
                                                                   nal Processing Letters, 2016, 23(10): 1469–1473.
                CPUᤂᛡ௑ᫎ/s       ISSM                               ing[J]. The Journal of the Acoustical Society of America,
                                                                 [5] Xenaki A, Gerstoft P. Grid-free compressive beamform-
                    0
                  10
                                RSS
                                                                   2015, 137(4): 1923–1935.
                                MD-SBL
                                                                 [6] Vetterli M, Marziliano P, Blu T. Sampling signals with
                                BF-FRI
                   -1
                 10
                                                                   finite rate of innovation[J]. IEEE transactions on Signal
                                                                   Processing, 2002, 50(6): 1417–1428.
                                                                 [7] Blu T, Dragotti P L, Vetterli M, et al. Sparse sampling of
                 10 -2
                    0           5          10         15           signal innovations[J]. IEEE Signal Processing Magazine,
                                   ௑ᫎ/min
                                                                   2008, 25(2): 31–40.
                                                                 [8] Pan H, Blu T, Vetterli M. Towards generalized FRI
                 图 12  实验数据中各算法的 CPU 运行时间对比
                                                                   sampling with an application to source resolution in ra-
               Fig. 12 Comparison of CPU runtime of each al-       dioastronomy[J]. IEEE Transactions on Signal Processing,
               gorithm in the experimental data                    2016, 65(4): 821–835.
                                                                 [9] Pan Y, Luo G Q, Jin H, et al. DOA estimation with planar
             5 结论                                                  array via spatial finite rate of innovation reconstruction[J].
                                                                   Signal Processing, 2018, 153: 47–57.
                 本文引入了一种基于多项式比值模型的 FRI                          [10] Chen T, Shi L, Yu Y. Gridless DOA estimation with fi-
                                                                   nite rate of innovation reconstruction based on symmetric
             重构方法。为解决该 FRI 重构方法在宽带信号下
                                                                   Toeplitz covariance matrix[J]. EURASIP Journal on Ad-
             无法应用的问题,结合 CSSM 方法中的宽带聚焦思                             vances in Signal Processing, 2020, 2020(1): 1–16.
             想,提出了一种适用于宽带信号的 DOA 估计方法                           [11] Gilliam C, Blu T. Fitting instead of annihilation: Im-
             ——BF-FRI 方法。数值仿真验证了该方法在宽带                             proved recovery of noisy FRI signals[C]. 2014 IEEE In-
                                                                   ternational Conference on Acoustics, Speech and Signal
             信号下的可行性。与基于CS理论的DOA估计方法                               Processing (ICASSP). IEEE, 2014: 51–55.
             相比,该方法具有较低的运算复杂度,在实时处理上                            [12] Li Y, Guo R, Blu T, et al. Generic FRI-based DOA es-
             具有显著优势,同时避免了因网格失配导致的估计                                timation: A model-fitting method[J]. IEEE Transactions
                                                                   on Signal Processing, 2021, 69: 4102–4115.
             误差。数值仿真表明,该方法目前在低 SNR 环境下
                                                                [13] Hoffmann F M, Nelson P A, Fazi F M. DOA estimation
             性能表现相较基于 CS 理论的 DOA 估计方法和经                            performance with circular arrays in sound fields with finite
             典的 ISSM 方法略有下降。海试数据处理结果验证                             rate of innovation[J]. IEEE/ACM Transactions on Audio,
                                                                   Speech, and Language Processing, 2019, 28: 171–184.
             了该方法在宽带信号DOA估计中的有效性。
                                                                [14] Cadzow J A. Signal enhancement-a composite property
                 本文为在宽带情况下采用 FRI 重构方法进行                            mapping algorithm[J]. IEEE Transactions on Acoustics,
             DOA 估计这一问题引进了新的思路,然而,由于该                              Speech, and Signal Processing, 1988, 36(1): 49–62.
             方法目前在低SNR环境下性能表现尚有不足,需进                            [15] Li Y, Guo R, Blu T, et al. Robust sparse reconstruction of
                                                                   attenuated acoustic field with unknown range of source[J].
             一步研究和改进以提升其在低SNR环境下的表现。
                                                                   The Journal of the Acoustical Society of America, 2022,
                                                                   152(6): 3523–3534.
             致谢 感谢参与该水声实验的所有工作人员,是
                                                                [16] Guo R, Li Y, Blu T, et al.  Vector-FRI recovery of
             你们的奉献和专业精神为本文研究打下了坚实的                                 multi-sensor measurements[J]. IEEE Transactions on Sig-
             基础。                                                   nal Processing, 2022, 70: 4369–4380.
                                                                [17] 李永飞, 郭瑞明, 赵航芳. 浅海内波环境下声场干涉条纹的稀
                            参 考     文   献                          疏重建 [J]. 物理学报, 2023, 72(7): 241–251.
                                                                   Li Yongfei, Guo Ruiming, Zhao Hangfang. Sparse recon-
              [1] Hung H, Kaveh M. Focusing matrices for coherent signal-
                                                                   struction of acoustic interference fringes in shallow water
                 subspace processing[J]. IEEE Transactions on Acoustics,
                                                                   and internal wave environment[J]. Acta Physica Sinica,
                 Speech, and Signal Processing, 1988, 36(8): 1272–1281.
                                                                   2023, 72(7): 241–251.
              [2] Valaee S, Kabal P. Wideband array processing using a
                                                                [18] Cao J, Liu Z, Xu Y. New algorithm requiring no prepro-
                 two-sided correlation transformation[J]. IEEE Transac-
                                                                   cessing for wideband DOA estimation[C]. 2008 9th Inter-
                 tions on Signal processing, 1995, 43(1): 160–172.
                                                                   national Conference on Signal Processing. IEEE, 2008:
              [3] Li C, Liang G, Qiu L, et al. An efficient sparse method
                                                                   394–397.
                 for direction-of-arrival estimation in the presence of strong
                                                                [19] Nannuru S, Gemba K L, Gerstoft P, et al. Sparse Bayesian
                 interference[J]. The Journal of the Acoustical Society of
                                                                   learning with multiple dictionaries[J]. Signal Processing,
                 America, 2023, 153(2): 1257–1271.
                                                                   2019, 159: 159–170.
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