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An Improved Maneuvering Target Tracking Method Based on Unbiased Finite Impulse Response Filter (ufir)

A technology of maneuvering target tracking and impact response, applied in the field of target tracking

Inactive Publication Date: 2016-05-11
BEIHANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The technical problem to be solved by the present invention is: in the existing UFIR filter, with the determination of the system state space model, the generalized noise power gain (GNPG) is also determined accordingly

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  • An Improved Maneuvering Target Tracking Method Based on Unbiased Finite Impulse Response Filter (ufir)
  • An Improved Maneuvering Target Tracking Method Based on Unbiased Finite Impulse Response Filter (ufir)
  • An Improved Maneuvering Target Tracking Method Based on Unbiased Finite Impulse Response Filter (ufir)

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Embodiment Construction

[0048] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0049] The present invention first establishes a discrete time-varying linear system model; then estimates parameters such as the optimal window length of the UFIR filter; then uses the K-order batch processing UFIR filter to generate an iterative initial condition and an initial generalized noise power gain matrix (GNPG) at each moment; Finally, the improved two-stage Kalman-like UFIR filter is used to obtain the filtering results at each moment. Its implementation process is as follows figure 1 As shown, it specifically includes the following four steps:

[0050] 1. Establish a discrete time-varying linear system model

[0051] The discrete time-varying linear system model is described by the state and observation equations of the state space model as:

[0052] x n =F n x n-1 +B n w n ,

[0053] z n =H n x n +v n ,

[0054] in...

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Abstract

The invention provides an improved maneuvering target tracking method based on an unbiased finite impulse response (UFIR) filter. The method comprises the following implementation steps: (1) establishing a discrete time-varying linear system model; (2) estimating parameters such as the optimal window length of the UFIR filter; (3) performing batch processing on the UFIR filter by using an order K at each moment to generate an iteration initial condition and an initial generalized noise power gain (GNPG) matrix; (4) obtaining the filtering result of a current moment by using an improved two-order Kalman UFIR filter. According to the method, a generalized noise power gain adjusting coefficient is introduced for performing timely adjustment on GNPG according to the fact that target maneuverability can be partially reflected by using the deviation between a measuring result and the filtering result, and self-adaptability to the target maneuverability is realized, so that the tracking effect of the Kalman UFIR filter on the maneuvering target is enhanced.

Description

technical field [0001] The invention belongs to the field of target tracking and relates to an improved maneuvering target tracking method based on an unbiased finite impulse response filter (UFIR). Background technique [0002] Maneuvering target tracking has always been one of the difficult problems in radar target tracking. The reason is that in conventional Kalman filtering, the maneuvering of the target is understood as the process noise of the state equation in the state space model. However, since the maneuvering situation of the target is unknown, it is difficult to determine the process noise of the state equation, which affects the filtering effect. Aiming at this shortcoming of Kalman filtering, many improved algorithms have been proposed, such as tunable white noise algorithm (CN), variable dimension filtering algorithm (VD), multi-model (MM) and interactive multi-model (IMM) algorithms. Most of these algorithms achieve better performance than Kalman filtering b...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/20G06T5/00G06F17/50
Inventor 孙进平付锦斌王欢高飞
Owner BEIHANG UNIV