Mobile dim target tracking-before-detecting method based on discrete variable rate sampling

Abstract

The invention discloses a mobile dim target tracking-before-detecting method based on discrete variable rate sampling. According to the invention, firstly a particle is initialized and particle variables undergo one-step prediction; secondly, a first particle state prediction is carried out, and after introduction of state variables, the state prediction is carried out again; thirdly, the particle weight is calculated and normalized, and the particle undergoes a second weighted operation; and finally, a current target detection probability and state are estimated. In the particle state prediction process, the invention proposes a novel discrete variable rate sampling method for sampling particles. According to the invention, the mobile dim target tracking-before-detecting in the complex background environment is realized; and the great reliability, feasibility and real-time performance are realized.

Description

technical field

[0001] The invention belongs to the field of radar data processing, and relates to a fast tracking algorithm for maneuvering weak targets before detection based on discrete variable rate sampling. Background technique

[0002] At present, the airborne early warning radar low-altitude detection technology uses target detection (signal processing) and target tracking (data processing) as two independent links. Detection and object tracking. However, when the signal-to-noise ratio of the target is low, because the detection link simplifies the measurement data and loses some information in the original measurement, it is usually difficult to find the signal of the weak target. The tracking-before-detection algorithm based on Bayesian filtering is usually used to solve the problem of detection and tracking of radar weak targets. This technology can directly use the original radar observation data, fully mine the data information and improve the signal-to-noise ...

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