Fractal variable step size least square target detector

A least squares and variable technology, applied in the direction of instruments, radio wave measurement systems, etc., can solve the problems of not being able to model or track non-stationary signals well, and achieve good discrimination ability, simple calculation, and high real-time performance Effect

Inactive Publication Date: 2010-09-15
NAVAL AERONAUTICAL & ASTRONAUTICAL UNIV PLA
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Problems solved by technology

However, various adaptive algorithms proposed so far cannot model or track non-stationary signals such as sea clutter well

Method used

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  • Fractal variable step size least square target detector
  • Fractal variable step size least square target detector
  • Fractal variable step size least square target detector

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Embodiment Construction

[0015] The present invention will be described in further detail below with reference to the accompanying drawings. With reference to the accompanying drawings, the specific embodiment of the present invention is divided into the following steps:

[0016] (1) After the signal returned from the radar antenna is amplified, mixed and detected, it is sent to the computing device 1 for preprocessing, and the amplitude is normalized.

[0017] (2) The computing device 2 receives the output data from the computing device 1, and calculates the Hurst exponent H of the input signal according to the "random walk model" of sea clutter. If the radar faces a fixed sea area, the Hurst exponent can be obtained from empirical data , at this time, the device 2 is a storage device, which is used for storing the Hurst exponent of the sea surface echo signal, and does not need to be recalculated every time.

[0018] (3) The storage device 3 is used to store the time-invariant eigenvalues ​​and the...

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Abstract

The invention discloses a fractal variable step size least square target detector belonging to the field of radar signal processing. The current statistical method and fractal method are respectively applied to detecting targets in sea clutter, thereby having the defects of complex and inaccurate parameter evaluation or poor real-time. In the invention, the statistical method and the fractal method are combined, parameter evaluation is depended on a fractal Hurst index, a time-invariance characteristic value can be precalculated and stored for the following calculation, simple and convenient calculation, high accuracy and real-time are ensured, and a variable step size least square algorithm has high accuracy for forecasting and high convergence rate. An output value of a self-adaptive linear synthesizer is compared with an original sea clutter sequence to extract a forecast error to form detection statistics. The detector has favorable classifying capacity on sea clutter and targets and the capacity of detecting weak targets in strong sea clutter, is suitable for tracking target signals in fractal signal groups with a power spectrum in a 1/f Beta form, and has popularization and application values.

Description

1. Technical field [0001] The invention relates to a target detection method based on a fractal variable step size least square algorithm in the field of radar signal processing, and is suitable for various signal processing systems of sea imaging reconnaissance and early warning radar. 2. Background technology [0002] The goal of sea clutter research is to improve the detection ability of targets in sea clutter. So far, there have been many classical methods in this research, such as time-frequency analysis, wavelet decomposition, neural network, and the combination of neural network and wavelet decomposition. And the utilization of fractal dimension, fractal error and multifractal analysis, etc. Research in this field needs to adopt a systematic method, conduct experiments on a large number of measured sea clutter data, and find some relatively stable parameters that can be calculated to detect the target from the sea clutter. In fact, the above methods can be mainly div...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41
Inventor 关键刘宁波宋杰张建
Owner NAVAL AERONAUTICAL & ASTRONAUTICAL UNIV PLA
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