Enhancing the parameter estimation precision in a damped system by square-wave modulation

Metrologia ◽  
2020 ◽  
Vol 57 (6) ◽  
pp. 065004
Author(s):  
DuoJia Wang ◽  
Xin Li ◽  
Yu Wang
2014 ◽  
Vol 548-549 ◽  
pp. 1160-1165 ◽  
Author(s):  
Ning Ma ◽  
Jian Xin Wang

Compressed sensing (CS) theory breaks through the limitations of the traditional Nyquist sampling theorem, and accomplishes the compressed sampling and reconstruction of signals based on sparsity or compressibility. In this paper, CS theory is used to do the parameter estimation of wideband Linear Frequency Modulated (LFM) signal in order to decrease the sampling pressure. A novel method that reconstructs the edge information of the LFM spectrum based on wavelet transform and CS theory is proposed. On the basis that the wideband LFM signal has approximate rectangular spectrum, the wavelet-based edge detection is introduced to provide sparse representation for the signal spectrum. The edges of the spectrum can be reconstructed by the CS reconstruction algorithms. Consequently, the initial frequency and final frequency of wideband LFM signal can be estimated with high estimation precision. The effectiveness of the proposed method is confirmed with numerical simulation.


2018 ◽  
Vol 33 (9) ◽  
pp. 7480-7495 ◽  
Author(s):  
Yu Wang ◽  
Qiang Song ◽  
Biao Zhao ◽  
Jianguo Li ◽  
Qianhao Sun ◽  
...  

2016 ◽  
Vol 55 (12) ◽  
pp. 3274 ◽  
Author(s):  
Linglan Wang ◽  
Yuchao Yan ◽  
Huilian Ma ◽  
Zhonghe Jin

2002 ◽  
Vol 106 (1) ◽  
pp. 152-157 ◽  
Author(s):  
Keith B. Oldham ◽  
David J. Gavaghan ◽  
Alan M. Bond

2016 ◽  
Vol 22 (2) ◽  
pp. 148-153
Author(s):  
王宁 WANG Ning ◽  
李军奇 LI Jun-qi

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