Debiased conversion measurements based target tracking with direction cosine measurements

doi:10.23919/JSEE.2022.000139

Abstract

Abstract:

Phased array radar ’s measurements include two direction cosine and range measurements, which can be obtained in the direction cosine coordinates. State equation of the target is nonlinear with the measurements and in order to solve the nonlinear problem, debiased conversion measurements based target tracking with direction cosine and range measurements in direction cosine coordinates named DCMKF-PreDcos is proposed first in this paper, where the predicted information is introduced to calculate the converted measurement errors ’ statistical characteristics to eliminate the correlation between measurement noise and the converted measurement errors covariance. When range rate information can be obtained further, based on the above DCMKF-PreDcos ’ filtering result, the sequential filtering is adopted to process the additional range rate measurement and the DCMKF-PreDcos algorithm with extra range rate information is given. The predicted information is also introduced to calculate the involved statistical characteristics of converted measurements. The effectiveness of the proposed algorithms is shown in simulation results.

Key words: nonlinear filtering, range rate information, target tracking, direction cosine coordinates, predicted information

Lifu LI, Ting CHENG. Debiased conversion measurements based target tracking with direction cosine measurements[J]. Journal of Systems Engineering and Electronics, 2022, 33(6): 1140-1150.

Figures/Tables 8

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Scene	Measurement noises’ standard deviation
Scene	${\sigma _r}$ /m	${\sigma _\alpha }$	${\sigma _\beta }$	${\sigma _{\dot r}}$ /(m/s)
Scene 1	50	0.001	0.001	0.01
Scene 2	50	0.005	0.005	0.01
Scene 3	200	0.005	0.005	0.01
Scene 4	200	0.005	0.005	0.1
Scene 5	500	0.005	0.005	0.1
Scene 6	500	0.01	0.01	0.1

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