Sparse Estimation of Spectral Lines: Grid Selection Problems and Their Solutions

作者：Stoica Petre^*; Babu Prabhu

来源：IEEE Transactions on Signal Processing, 2012, 60(2): 962-967.

DOI：10.1109/TSP.2011.2175222

• Sinusoidal signals
• sparse estimation
• spectral analysis

Grid selection for sparse estimation of spectral-line parameters is a critical problem that was in need of a satisfactory solution: assuming the usual case of a uniform spectral grid how should one select the number of grid points, K? We first present a simple practical rule for choosing an initial value (or initial values) of K in a given situation. Then, we go on to explain how the estimation results corresponding to different values of K can be compared with one another and therefore how to select the %26quot;best%26quot; value of K among those considered. Furthermore, we introduce a method for detecting when a grid is %26quot;too rough%26quot; and for obtaining refined parameter estimates in such a case.

• 出版日期2012-2