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一种未知信源数的高分辨DOA 估计算法：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。-Algorithm on High Resolution DOA Estimation
without Sources Number：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.
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。-Algorithm on High Resolution DOA Estimation
without Sources Number：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.
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