A Parameter Estimation Method for Sub-Nyquist Sampled Radar Signals Based on Frequency-domain Delay-Doppler Two-dimensional Focusing

Zhiliang WEI; Ning FU; Liyan QIAO

doi:10.11999/JEIT200714

Volume 43 Issue 11

Nov. 2021

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Zhiliang WEI, Ning FU, Liyan QIAO. A Parameter Estimation Method for Sub-Nyquist Sampled Radar Signals Based on Frequency-domain Delay-Doppler Two-dimensional Focusing[J]. Journal of Electronics & Information Technology, 2021, 43(11): 3228-3236. doi: 10.11999/JEIT200714

Citation:

Zhiliang WEI, Ning FU, Liyan QIAO. A Parameter Estimation Method for Sub-Nyquist Sampled Radar Signals Based on Frequency-domain Delay-Doppler Two-dimensional Focusing[J]. Journal of Electronics & Information Technology, 2021, 43(11): 3228-3236. doi: 10.11999/JEIT200714

Citation:

Zhiliang WEI, Ning FU, Liyan QIAO. A Parameter Estimation Method for Sub-Nyquist Sampled Radar Signals Based on Frequency-domain Delay-Doppler Two-dimensional Focusing[J]. Journal of Electronics & Information Technology, 2021, 43(11): 3228-3236. doi: 10.11999/JEIT200714

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A Parameter Estimation Method for Sub-Nyquist Sampled Radar Signals Based on Frequency-domain Delay-Doppler Two-dimensional Focusing

doi: 10.11999/JEIT200714

Automatic Test and Control Institute, School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China

Funds: The National Natural Science Foundation of China (62071149, 61671177)

Received Date: 2020-08-11
Rev Recd Date: 2021-08-20

Available Online: 2021-09-17

Publish Date: 2021-11-23

Abstract

Abstract

In the problem of sub-Nyquist sampled pulse Doppler radar signals, the existing methods have poor anti-noise performance, and the subsequent parameter estimation in the sequential parameter estimation methods is seriously affected by the accuracy of the previous parameter estimation. A Frequency-domain Delay-Doppler Two-dimensional Focusing (FD²TF) algorithm is proposed based on Finite Rate of Innovation (FRI) sampling method to solve the problem. The algorithm can obtain a series of Fourier coefficients of the signal at a sampling rate lower than the Nyquist sampling frequency through the FRI sampling structure. The time delay and Doppler parameters can be estimated simultaneously through the frequency-domain two-dimensional focusing process, and the problem of error accumulation in parameter sequential estimation methods can be avoided. Theoretical analysis proves that the algorithm can greatly improve the signal-to-noise ratio of the sampled signal, and improve the anti-noise performance and robustness of the algorithm. This paper also proposes a two-dimensional focusing simplification algorithm based on inverse Fourier transform, which greatly reduces the computational complexity of the two-dimensional focusing algorithm while increasing the grid density of parameter estimation. Simulation and comparative experiment results show that the proposed method is effective and has good anti-noise performance.
- Pulse-Doppler radar,
- Finite rate of innovation sampling,
- Sub-Nyquist sampling,
- Parameter estimation

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References(20)

References

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