An Efficient and Accurate Multi-Sensor IF Estimator Based on DOA Information and Order of Fractional Fourier Transform

Entropy

Sadiq Ali¹  Kwonhue Choi²  Nabeel Ali Khan³ 

[1] Department of Electrical Engineering, University of Engineering and Technology, Peshawar 25000, Pakistan;Department of Information and Communicaiton, Yeungnam University, Gyeongsan 38541, Korea;Faculty of Engineering and IT, Foundation University Islamabad, Rawalpindi 46000, Pakistan;

关键词: time-frequency;    instantaneous frequency;    spatial information;    angle of arrival;   

DOI  :  10.3390/e24040452

来源: DOAJ

【 摘 要 】

Instantaneous frequency in multi-sensor recordings is an important parameter for estimation of direction of arrival estimation, source separation, and sparse reconstruction. The instantaneous frequency estimation problem becomes challenging when signal components have close or overlapping signatures and the number of sensors is less than the number of sources. In this study, we develop a computationally efficient method that exploits the direction of the IF curve in addition to the angle of arrival as additional features for the accurate tracking of IF curves. Experimental results show that the proposed scheme achieves better accuracy compared to the-state-of-art method in terms of mean square error (MSE) with a slight increase in the computational cost, i.e., the proposed method achieves MSE of −50 dB at the signal to noise ratio of 0 dB whereas the existing method achieves the MSE of −38 dB.

【 授权许可】

Unknown