基于抽取技术的二维密集频率估计方法

本文研究了有色噪声背景下的密集频率估计问题,提出了一种采用二维抽取技术估计密集频率的新方法.利用时域抽取增加频率间隔的能力,基于二维谐波信号模型,本方法对二维密集频率进行了有效的分离,并利用改进的二维矩阵束方法对分离后的二维密集频率进行了准确的估计.本文所提出的方法简单易行,解决了现有二维频率估计方法对密集频率估计失效的问题.仿真结果验证了本方法的有效性.

Two-Dimensional Closely Spaced Frequencies Estimation Using Decimation Technique

Based on the two dimensional harmonic model,this paper studies the problem of estimating the frequencies of closely spaced complex exponentials in the presence of colored noise,and presents a new estimation approach using the two dimensional decimation technique.By using the capability of decimation in the time domain to increase the frequency intervals,the proposed method first separates the frequencies in the frequency domain,and then gives the exact frequency estimations by using the improved two dimensional matrix pencil method.The proposed method is easy to realize and has successfully improved the performance of the existing two dimensional frequency estimation methods in the case of closely spaced frequencies.Simulations are provided to show its performances.