The proposed algorithm does not require spectral peak search, and can be applied to arbitrary Gaussian noise environment. It can reduce the aperture loss.
该算法无需峰值搜索，适用于任意高斯噪声环境，可有效降低阵列孔径损失。
Without any spectral peak search and parameters pairing, the resulting method is computationally efficient with high resolution and small variance, even in the short data length.
此方法回避了多维谱峰搜索和参数配对，克服了在短数据时离散傅立叶变换测频分辨率低和性能差的不足。
This algorithm can achieve high frequency resolution and reduce the search range of MUSIC algorithm's spectral peak.
该算法可得到较高的频率分辨率，并减少了MUSIC算法的谱峰搜索范围。
This algorithm can achieve high frequency resolution and reduce the search range of MUSIC algorithm's spectral peak.
该算法可得到较高的频率分辨率，并减少了MUSIC算法的谱峰搜索范围。
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