Approximate fractal detection method for targets in sea clutter in frft domain

A detection method and sea clutter technology, applied in radio wave measurement systems, instruments, etc., can solve problems such as poor target detection performance, and achieve the effect of reducing the demand for signal-to-noise ratio, reducing the amount of calculation, and being easy to implement.

Active Publication Date: 2015-08-19
NAVAL AERONAUTICAL & ASTRONAUTICAL UNIV PLA
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Problems solved by technology

However, in the process of applying the single fractal theory, the main object is the time-domain signal amplitude, analyze the change of the signal structure and find a suitable single fractal parameter for target detection. When the sea situation is high, the target detection performance is poor

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  • Approximate fractal detection method for targets in sea clutter in frft domain
  • Approximate fractal detection method for targets in sea clutter in frft domain
  • Approximate fractal detection method for targets in sea clutter in frft domain

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Embodiment Construction

[0016] The present invention will be described in further detail below in conjunction with the accompanying drawings. With reference to the accompanying drawings in the description, the specific implementation of the present invention is divided into the following steps:

[0017] (1) Input the radar sea clutter experimental data acquired in advance into computing device 1 to carry out FRFT processing to obtain the FRFT spectrum of the sea clutter. In this step, the acquisition of radar experimental data can adopt the following method: the radar is pre-scanned before the application of the present invention. For a period of time on the sea surface, the radar zero-IF frequency I / Q two-way sea echo data is accepted and stored as radar experimental data; the transformation order used for FRFT in device 1 is the empirical transformation order, and the rough value range is generally [0.7 , 1.3].

[0018] (2) The calculation device 2 receives the sea clutter FRFT spectrum obtained b...

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Abstract

The invention discloses an approximate fractal detection method for targets in a fractional fourier transformer (FRFT) region sea clutter and belongs to the field of radar signal processing. In the existing method for detecting targets in the sea clutter by utilizing the single fractal characteristics, radar time domain echo sequences are directly processed, and the detection performance on the targets moving slightly under strong sea clutter is poor. By means of the approximate fractal detection method, FRFT and the single fractal processing method are ingeniously combined, the advantages of the FRFT for effectively improving the signal to clutter ratio of the targets moving on the sea surface and the characteristics of easy and convenient feature calculation and high accuracy of the signal fractal processing method can be comprehensively utilized, and single Hurst indexes of sea clutter FRFT spectrums can be extracted within the permissible error range for target detection. A detector comprehensively utilizes the advantages of phase-coherent accumulation and the single fractal theory and has good distinguishing capability on the targets moving slightly in the sea clutter, and simultaneously the approximate fractal detection method is suitable for target signal tracking in non-uniform fractal clutter and has wide application value.

Description

1. Technical field [0001] The invention relates to a method for target detection using the approximate single fractal feature of the sea clutter fractional Fourier transform spectrum in the field of radar signal processing, that is, an approximate fractal detection method for targets in sea clutter in the FRFT domain, wherein FRFT is a English abbreviation for Fourier transform. The invention is applicable to various coherent radar signal processing systems for sea imaging reconnaissance and warning. 2. Background technology [0002] The traditional Fourier transform is a standard tool for analyzing and processing stationary signals, but it is weak for analyzing and processing time-varying non-stationary signals. With the development of information science, non-stationary signal processing has gradually attracted attention, and the limitations of Fourier analysis have also become more prominent. In response to this problem, researchers have proposed and developed a series ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/41
Inventor 关键刘宁波陈小龙黄勇丛瑜柴勇王国庆何友
Owner NAVAL AERONAUTICAL & ASTRONAUTICAL UNIV PLA
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