Target distance tracking method

A technology of target distance and discrete domain, which is applied in the field of target distance tracking based on iterative linear smoothing Newton method, can solve the problem that the tracking performance is difficult to meet the engineering requirements, and achieve the effect of self-adaptive update, improved stability, and broadened application range

Active Publication Date: 2019-03-08
SHANGHAI RADIO EQUIP RES INST
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Problems solved by technology

Therefore, the "current" statistical model is also a more practical tracking method, but when the "current" statistical model is used, the target maneuver frequency and the upper and lower limits of the target acceleration need to be preset, so its tracking performance in the target maneuver scene is difficult to meet engineering requirements

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Embodiment Construction

[0051] based on the following Figure 1 to Figure 5 , specifically explain the preferred embodiment of the present invention.

[0052] Such as figure 1 As shown, the present invention provides a kind of target distance tracking method, comprises the following steps:

[0053] Step S1, design as figure 2 The first-order one-step-forward RLSN predictor shown, the discrete domain transfer function of this RLSN predictor is:

[0054]

[0055] Among them, μ is the feedback scaling factor, μ=0.05, N is the order of the moving average, N=8;

[0056] Step S2, in the kth processing cycle (Cohrent Processing Interval, CPI), utilize radial velocity measured value to calculate the acceleration estimated value of last CPI

[0057]

[0058] in, is the radial velocity measurement value of the kth CPI, is the radial velocity measurement value of the k-1th CPI, T is the duration of one CPI, k=2,3,...;

[0059] Step S3, judging whether the CPI count is less than 10, if so, proc...

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Abstract

The invention discloses a target distance tracking method. The method breaks through the limitation that acceleration limit values and maneuvering frequency values need to be preset when traditional current statistic models are used for tracking by accomplishing the pre-estimation of current coherent processing interval target radial acceleration through a first-order one-step iterative linear smoothing Newton method, so that the adaptive computing of a process noise covariance matrix and a measurement noise covariance matrix for tracking filter can be realized, the suitable scope of the current statistic models can be widened, the adaptive updating of models can be realized, the stability of target distance tracking performance can be enhanced, and therefore, the method has important values for maneuvering target tracking scenes in actual engineering.

Description

technical field [0001] The invention relates to a target distance tracking method, in particular to a target distance tracking method based on iterative linear smoothing Newton method (RLSN). Background technique [0002] When the radar tracks the target distance, the mainstream tracking model used is the Interactive Multiple Model (IMM). Although its tracking performance is better, the amount of calculation also increases with the number of models. For the range tracking scenario of a single target, the application of the "current" statistical model also has a reliable and stable tracking effect, and its calculation amount is negligible compared with the IMM model. Therefore, the "current" statistical model is also a more practical tracking method, but when the "current" statistical model is used, the target maneuver frequency and the upper and lower limits of the target acceleration need to be preset, so its tracking performance in the target maneuver scene cannot meet th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/66
CPCG01S13/66
Inventor 蒋兵兵黄飞蒋张涛邹小东王鹤雷董千里李盘虎
Owner SHANGHAI RADIO EQUIP RES INST
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