Monopulse joint parameter estimation of multiple unresolved targets within the radar beam

Yuan, Hui; Wang, Chunyang; An, Lei; Li, Xin

doi:10.1088/1755-1315/69/1/012155

Cited by 3 publications

(1 citation statement)

References 16 publications

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“…With the same idea, a super-resolution estimation algorithm for unresolved extended targets named as monopulse radar signal processing with an extended target model (MRSP-E) is proposed [8]. The model in [7] was extended to the case where the signal envelope after pulse compression is a sinc function [9]. Additionally, an algorithm based on reversible jump Markov chain Monte Carlo (RJ-MCMC) [10] is built to achieve a similar estimation accuracy as in [7], while it requires fewer subpulses.…”

Section: Introductionmentioning

confidence: 99%

Super-resolution parameter estimation of monopulse radar by wide-narrowband joint processing

Tianyi,

Bo,

Weibo

2023

J. of Syst. Eng. Electron.

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The angular resolution of radar is of crucial significance to its tracking performance. In this paper, a super-resolution parameter estimation algorithm based on wide-narrowband joint processing is proposed to improve the angular resolution of wideband monopulse radar. The range cells containing resolvable scattering points are detected in the wideband mode, and these range cells are adopted to estimate part of the target parameters by algorithms of low computational requirement. Then, the likelihood function of the echo is constructed in the narrow-band mode to estimate the rest of the parameters, and the parameters estimated in the wideband mode are employed to reduce computation and enhance estimation accuracy. Simulation results demonstrate that the proposed algorithm has higher estimation accuracy and lower computational complexity than the current algorithm and can avoid the risk of model mismatch.

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