Efficient Parameters Estimation of Multi-target Based on Space-Time Cascaded Monopulse

SHEN Mingwei; ZHANG Yongshu; LI Jianni; WU Di; ZHU Daiyin

doi:10.11999/JEIT230347

Volume 46 Issue 3

Mar. 2024

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Article Navigation > Journal of Electronics & Information Technology > 2024 > 46(3): 952-959

SHEN Mingwei, ZHANG Yongshu, LI Jianni, WU Di, ZHU Daiyin. Efficient Parameters Estimation of Multi-target Based on Space-Time Cascaded Monopulse[J]. Journal of Electronics & Information Technology, 2024, 46(3): 952-959. doi: 10.11999/JEIT230347

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SHEN Mingwei, ZHANG Yongshu, LI Jianni, WU Di, ZHU Daiyin. Efficient Parameters Estimation of Multi-target Based on Space-Time Cascaded Monopulse[J]. Journal of Electronics & Information Technology, 2024, 46(3): 952-959. doi: 10.11999/JEIT230347

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Efficient Parameters Estimation of Multi-target Based on Space-Time Cascaded Monopulse

doi: 10.11999/JEIT230347 cstr: 32379.14.JEIT230347

1.
College of Computer and Information Engineering, Hohai University, Nanjing 211100, China
2.
Key Laboratory of Radar Imaging and Microwave Photonics of the Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

Funds: The National Natural Science Foundation of China (62271190), The Natural Science Foundation of Jiangsu (BK20221499)

Received Date: 2023-04-27
Accepted Date: 2023-11-14
Rev Recd Date: 2023-11-08

Available Online: 2023-11-17

Publish Date: 2024-03-27

Abstract

Abstract

An ACM-ML (Amplitude Comparison Monopulse-Maximum Likelihood) algorithm that employs a two-dimensional relaxation iterative search for range and velocity inevitably leads to low computational speeds and large amount calculation. Focusing on the problems mentioned above, a method for efficient Multi-target parameter estimation based on a Space-Time Cascaded MonoPulse algorithm (M-STCMP) is proposed in the paper. The algorithm introduces the monopulse technique to the pulse domain for target velocity computing with temporal monopulse, which results in a one-dimensional search for range and significantly reducing the computational burden of a two-dimensional iterative search within the ACM-ML algorithm. Because the temporal monopulse cannot simultaneously match multiple targets of varying velocities across main beams, the M-STCMP algorithm is improved by estimating the velocity in each Doppler cell with the Doppler information of received signals. To suppress energy leakage between targets, estimations produced in the main beams are cascaded and iterated for each target, that results in greater accuracy. Theoretical analysis and simulation verify the effectiveness of the proposed algorithm.
- Temporal monopulse,
- Multi-target resolution,
- Parameter estimation,
- Relaxation iteration

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References(23)

References

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