Research on Multi-target Parameter Estimation Method for Overlapping-element Time Division Multiplexing MIMO Radar

TIAN Feng; LIU Wan; FU Weibo; ZHANG Haoyu

doi:10.11999/JEIT230039

Volume 46 Issue 1

Jan. 2024

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Article Navigation > Journal of Electronics & Information Technology > 2024 > 46(1): 229-239

TIAN Feng, LIU Wan, FU Weibo, ZHANG Haoyu. Research on Multi-target Parameter Estimation Method for Overlapping-element Time Division Multiplexing MIMO Radar[J]. Journal of Electronics & Information Technology, 2024, 46(1): 229-239. doi: 10.11999/JEIT230039

Citation:

TIAN Feng, LIU Wan, FU Weibo, ZHANG Haoyu. Research on Multi-target Parameter Estimation Method for Overlapping-element Time Division Multiplexing MIMO Radar[J]. Journal of Electronics & Information Technology, 2024, 46(1): 229-239. doi: 10.11999/JEIT230039

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Research on Multi-target Parameter Estimation Method for Overlapping-element Time Division Multiplexing MIMO Radar

doi: 10.11999/JEIT230039

TIAN Feng^{1, 2
,
,},
LIU Wan¹,
FU Weibo^{1, 2},
ZHANG Haoyu¹

1.
College of Communication & Information Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
2.
Xi'an Key Laboratory of Network Convergence Communication, Xi’an 710054, China

Funds: The Project of Science and Technology of Shaanxi (2020GY-029)

Received Date: 2023-02-01
Rev Recd Date: 2023-08-21

Available Online: 2023-08-23

Publish Date: 2024-01-17

Abstract

Abstract

A multitarget parameter estimation method based on overlapping element MIMO arrays is presented for Doppler-angle coupling and velocity ambiguity. Based on the virtual aperture principle, overlapping elements are introduced into the traditional MIMO antenna array to construct the overlapping element MIMO antenna array. Array position parameters are estimated by introducing a cyclic iteration into the angular Fast Fourier Transform (FFT) algorithm, and the frequency is estimated by using the phase difference of the overlapping array element echo signals. The spectral shift method is introduced to convert the speed interval to achieve multi-objective distance and speed estimation. Under the Monte Carlo simulation with 15 dB signal-to-noise ratio, the blur resolution accuracy is 100%, the speed error is 0.1 m/s, and the angle error is 0.1 degree. Tests based on the self-collected data set of urban roads show that the method can accurately estimate the speed and angle of vehicle targets, and can meet the real-time and accuracy requirements of traffic radar for vehicle information monitoring.
- Time Division Multiplexing Multi-Input-Multiple-Output (TDM-MIMO) radar,
- Motion compensation,
- Velocity ambiguity,
- Overlapping-element

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References(20)

References

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