Extending the threshold and frequency range for phase-based frequency estimation

• Published in: IEEE transactions on signal processing Vol. 47; no. 10; pp. 2857 - 2863
• Main Authors: Fowler, M.L., Johnson, J.A.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.10.1999; Institute of Electrical and Electronics Engineers
• Subjects: Applied sciences; Channel bank filters; Computational complexity; Detection, estimation, filtering, equalization, prediction; Exact sciences and technology; Exact solutions; Filter bank; Filter banks; Finite impulse response filter; Frequency dependence; Frequency estimation; Frequency ranges; Information, signal and communications theory; Inversions; Mathematical analysis; Maximum likelihood estimation; Mirrors; Signal and communications theory; Signal processing; Signal to noise ratio; Signal, noise; Telecommunications and information theory; Thresholds; Performance evaluation; Computer simulation; Matrix inversion; Quadrature mirror filter; Signal processing; Filter bank; Frequency estimation; Computational complexity; Decimation; Mean square error; Signal to noise ratio
• ISSN: 1053-587X; 1941-0476
• DOI: 10.1109/78.790666

Standard phase-based frequency estimation has a threshold that is high, is frequency dependent, and does not decrease with increasing signal length. These problems are solved by processing the signal with a highly overlapped filter bank before applying phase-based frequency estimation. By exploiting decimation, a closed-form matrix inversion, and cascades of simple filter banks, the computational complexity is kept low.