Weak Targets Detection and Estimation Based on Joint Use of Doppler and Micro-Doppler

SONG Zhiyong; XU Yuntao

doi:10.11999/JEIT230687

Volume 45 Issue 11

Nov. 2023

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Article Navigation > Journal of Electronics & Information Technology > 2023 > 45(11): 4083-4091

SONG Zhiyong, XU Yuntao. Weak Targets Detection and Estimation Based on Joint Use of Doppler and Micro-Doppler[J]. Journal of Electronics & Information Technology, 2023, 45(11): 4083-4091. doi: 10.11999/JEIT230687

Citation:

SONG Zhiyong, XU Yuntao. Weak Targets Detection and Estimation Based on Joint Use of Doppler and Micro-Doppler[J]. Journal of Electronics & Information Technology, 2023, 45(11): 4083-4091. doi: 10.11999/JEIT230687

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Weak Targets Detection and Estimation Based on Joint Use of Doppler and Micro-Doppler

doi: 10.11999/JEIT230687

SONG Zhiyong,
XU Yuntao^,

College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China

Funds: The National Natural Science Foundation of China(61401475)

Received Date: 2023-07-12
Rev Recd Date: 2023-10-09

Available Online: 2023-10-14

Publish Date: 2023-11-28

Abstract

Abstract

In recent years, low-altitude slow and small targets, such as Unmanned Aerial Vehicles (UAVs), have posed a great challenge to the management of existing low-altitude airspace. These targets have low echo Signal Noise Ratio (SNR) due to their low flight altitude, slow flight speed and small Radar Cross Section (RCS), which result in low detection probability and inaccurate parameter estimation by traditional detection and estimation methods based on Doppler information of target. In addition to the Doppler information generated by the radial motion of the target, the micro-Doppler information generated by the micro-motion parts of the target can also be used for the detection and estimation of low-altitude slow and small targets like UAVs, which is expected to improve the SNR of the target by aggregating the energy dispersed in multiple Doppler cells due to the micro-motion. In this paper, a joint Doppler and micro-Doppler detection and estimation method based on the Cardinality Balanced Multi-target Multi-Bernoulli (CBMeMBer) filter is proposed, which makes full usage of the Doppler and micro-Doppler information contained in the echoes of UAV targets. By jointly modelling the Doppler and micro-Doppler information of UAV targets under the framework of Random Finite Sets (RFS), effective integration and fusion of Doppler and micro-Doppler information can be achieved. This leads to a better detection and estimation performance of low-altitude slow and small targets. Simulation experiments show that the method can achieve stable detection and state estimation of UAV targets, and the detection sensitivity is improved by 2 dB compared with the traditional detection method that only uses target Doppler information.
- Signal detection,
- Micro-doppler,
- Parameter estimation,
- Cardinality Balanced Multi-target Multi-Bernoulli (CBMeMBer) filter

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References(23)

References

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