雷达高度表最小均方误差拟合高度估计算法研究

doi:10.16180/j.cnki.issn1007-7820.2019.08.005

Abstract

Abstract:

The traditional radar altimeter based on wave gate splitting method and half-power point method was greatly affected by noise and scattering fluctuation of ground scattering units, thus affecting the accuracy of height estimation. In this paper, the minimum mean square error fitting height estimation algorithm was proposed. The algorithm was based on the analytic model of ground echo, which made full use of the ground echo energy, so as to improve the accuracy of height estimation. The simulation results showed that the accuracy of the minimum mean square error was better than that of wave gate splitting method and the half power point method at different heights, and the influence of noise and ground scattering fluctuation on the accuracy of height estimation was reduced.

Key words: radar altimeter, height estimation, minimum mean square error fitting, wave gate splitting method, half-power point method, analytic model of ground echo

CLC Number:

TN957.7

PAN Shui. Research on Minimum Mean Square Error Fitting Height Estimation Algorithm for Radar Altimeter[J].Electronic Science and Technology, 2019, 32(8): 22-26.

Figures/Tables 6

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Table 1

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Table 2

References 19

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算法	半功率点	波门分裂	最小均方误差拟合	高度 /m
高度估计均方根误差/m	0.867 8	0.600 1	0.571 8	1 000
高度估计均方根误差/m	4.591 4	4.151 7	1.026 1	3 000
高度估计均方根误差/m	8.274 7	8.018 4	1.370 3	6 000

Research on Minimum Mean Square Error Fitting Height Estimation Algorithm for Radar Altimeter

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