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A Spectrum Tracking Method for Faint Targets Based on Dynamic Programming

A weak target and dynamic programming technology, applied in the direction of sound wave re-radiation, using re-radiation, measuring devices, etc., can solve the problems of large amount of calculation and poor tracking performance

Inactive Publication Date: 2011-12-14
INST OF ACOUSTICS CHINESE ACAD OF SCI
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, when they track Doppler line spectrum signals with low signal-to-noise ratio, the simulation results show that the above methods face the disadvantages of poor tracking performance and large amount of calculation.

Method used

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  • A Spectrum Tracking Method for Faint Targets Based on Dynamic Programming
  • A Spectrum Tracking Method for Faint Targets Based on Dynamic Programming
  • A Spectrum Tracking Method for Faint Targets Based on Dynamic Programming

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Embodiment Construction

[0037] The present invention will be described in detail below in conjunction with the accompanying drawings and specific examples.

[0038] The problem of line spectrum tracking can actually be regarded as a multi-stage decision-making optimization problem, which can be solved by dynamic programming algorithm. When processing, the research problem is decomposed into several interrelated sub-problems. At each stage, it is required to select the value of a certain variable, so that the whole process can be optimized according to the given criteria. The dynamic programming method does not use a pre-threshold filter and maintains all weak signal information in the original measurement data. The method utilizes a single optimization process to complete data interconnection and track detection, thereby improving the identification sensitivity of the target spectrum blurred by clutter pollution. It tracks the signal spectrum by an exhaustive search of all feasible state transition...

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Abstract

The invention relates to a dim target frequency spectrum tracking method based on dynamic programming. In the method, data association and track detection are completed on a dim target submerged in background noise in a frequency spectrum tracking form. The method comprises the following steps of: determining a line spectrum searching range, calculating all feasible track scores in a line spectrum searching region in a line spectrum distribution form, determining a highest score state as an optimal line spectrum track for the termination of the state, and recovering a line spectrum track by forwardly tracking a state value obtained at each processing stage; and finishing data interconnection and track detection in a single optimizing process by using a dynamically-programmed line spectrumtracking method, so that the identification sensitivity of a target frequency spectrum is enhanced and the detection and tracking of a dim signal are further completed. A score function in practical work is in an additive form, and the score value of a state transition path is calculated by accumulating transition scores. During working, a line spectrum score function is combined with a generalized likelihood ratio, so that the nongaussian noise processing capability is enhanced.

Description

technical field [0001] The invention relates to the technical field of microphone array signal processing, in particular to a method for tracking weak target spectrum based on dynamic programming. Background technique [0002] Noise detection of high-speed moving targets in the air has always been a concern. Air noise detection of high-speed moving targets has problems such as low signal-to-noise ratio and large Doppler shift of noise line spectrum, which are difficult to detect and track. Because for a moving target, when there is relative motion between the sound source and the receiving sensor, there is a Doppler frequency shift in the signal received by the sensor. Since the speed of sound in air is much smaller than that in water, the Doppler frequency shift of the signal received by the sensor when the moving target is measured in the air is about 5 times larger than the measurement result in water. The greater the relative moving speed of the target and the higher th...

Claims

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Application Information

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IPC IPC(8): G01S15/58G01S7/539
Inventor 薛山花黄勇尹力黄海宁
Owner INST OF ACOUSTICS CHINESE ACAD OF SCI
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