An Algorithm of Line-spectrum Detection Using Frequency Domain Phase Compensation with Difference and TPM Technique.

The common average power spectrum estimation algorithm may cause the loss in detection performance because power spectrum amplitude is simply squared. The statistical properties of FFT of the segmented observations are analyzed, and a novel algorithm using frequency domain phase compensation for detecting line-spectrum in Gaussian noise is proposed. The phase compensation factor is estimated using Monte Carlo method. The sporadic and continuous outliers are removed by using difference and TPM method. Finally the statistics is checked by using generalized likelihood ratio. The detection performances of AVGPR, GPR and the proposed algorithm are theoretically compared. The simulation results show that the detection performance of the proposed algorithm is improved by 5 dB under a certain false alarm rate compared to AVGPR algorithm. It fully utilizes the phase information of the signal and has the advantages of simple and exact parameter estimation and good robustness. [ABSTRACT FROM AUTHOR]