A Novel Four-Point Model Based Unit-Norm Constrained Least Squares Method for Single-Tone Frequency Estimation

2019 ◽  
Vol E102.A (2) ◽  
pp. 404-414 ◽  
Author(s):  
Zhe LI ◽  
Yili XIA ◽  
Qian WANG ◽  
Wenjiang PEI ◽  
Jinguang HAO
Keyword(s):  
Least Squares ◽  
Least Squares Method ◽  
Frequency Estimation ◽  
Point Model ◽  
Constrained Least Squares ◽  
Tone Frequency ◽  
Single Tone ◽  
Model Based ◽  
Unit Norm

FFT-Based Moving Average Maximum Likelihood Single-tone Frequency Estimation

2011 ◽  
Vol 30 (4) ◽  
pp. 831-835
Author(s):  
Yu-chun Huang ◽  
Zai-lu Huang ◽  
Ben-xiong Huang ◽  
Shu-hua Xu
Keyword(s):  
Maximum Likelihood ◽  
Frequency Estimation ◽  
Moving Average ◽  
Tone Frequency ◽  
Single Tone ◽  
Average Maximum

scholarly journals Joint 2D-DOA and Frequency Estimation for L-Shaped Array Using Iterative Least Squares Method

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Ling-yun Xu ◽  
Xiao-fei Zhang ◽  
Zong-ze Xu ◽  
Miao Yu
Keyword(s):  
Least Squares ◽  
Least Squares Method ◽  
Frequency Estimation ◽  
Spectral Peak ◽  
Propagator Method ◽  
Esprit Algorithm ◽  
Delay Matrix

We introduce an iterative least squares method (ILS) for estimating the 2D-DOA and frequency based on L-shaped array. The ILS iteratively finds direction matrix and delay matrix, then 2D-DOA and frequency can be obtained by the least squares method. Without spectral peak searching and pairing, this algorithm works well and pairs the parameters automatically. Moreover, our algorithm has better performance than conventional ESPRIT algorithm and propagator method. The useful behavior of the proposed algorithm is verified by simulations.

scholarly journals Multidimensional Single-Tone Frequency Estimation Based on QR Decomposition

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 68153-68159
Author(s):  
Hui Cao ◽  
Long-Ting Huang ◽  
Yuntao Wu ◽  
Qi Liu
Keyword(s):  
Frequency Estimation ◽  
Qr Decomposition ◽  
Tone Frequency ◽  
Single Tone
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