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Multi-target detection method based on short-time Fourier transform and fractional Fourier transform

A fractional-order Fourier and short-time Fourier technology, which is applied in the standard detection method, belongs to the technical field of radar target detection, and can solve problems such as inability to distinguish multiple targets.

Inactive Publication Date: 2013-01-09
ZHONGBEI UNIV
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

The invention aims at the problem that the linear frequency modulation narrowband radar cannot distinguish multiple targets in the angle dimension and the distance dimension, and proposes to detect multiple targets through the Doppler frequency dimension

Method used

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  • Multi-target detection method based on short-time Fourier transform and fractional Fourier transform
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  • Multi-target detection method based on short-time Fourier transform and fractional Fourier transform

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Embodiment 1

[0073] Embodiment 1. Multi-target detection method based on short-time Fourier transform and fractional Fourier transform

[0074] The specific situation of the multi-target detection method based on short-time Fourier transform and fractional Fourier transform in this example is given by Figure 1 to Figure 8 Jointly shown. The specific implementation steps of the multi-target detection method based on short-time Fourier transform and fractional Fourier transform in this example are as follows: Step 1 is multi-target signal acquisition. The echo signals of each target are collected, and the obtained n-th multi-target echo signal can be expressed as:

[0075] s ( m , n ) = Σ p = 1 P [ exp ( j 2 π ...

Embodiment 2

[0114] Embodiment 2. Multi-target detection method based on short-time Fourier transform and fractional Fourier transform

[0115] In this example, the multi-target detection method based on short-time Fourier transform and fractional Fourier transform can be used similarly Figure 1 to Figure 8 etc. jointly show that the detection steps of the multi-target detection method based on short-time Fourier transform and fractional Fourier transform in this example are as described in Embodiment 1, and the detection process is also as follows figure 1 A total of 16 processes described in, will not be repeated. The radar system is: the radar works in the S-band, the maximum detection distance is 15km, the signal bandwidth is 1MHz, the pulse repetition period is 100μs, the pulse width is 10μs, the accumulation time is about 800ms, and the sampling frequency is 2MHz. In this example, it is assumed that three accelerated formation targets are detected, the initial distance of target 1...

Embodiment 3

[0116] Embodiment 3. Multi-target detection method based on short-time Fourier transform and fractional Fourier transform

[0117] In this example, the multi-target detection method based on short-time Fourier transform and fractional Fourier transform can be used similarly Figure 1 to Figure 8 etc. jointly show that the detection steps of the multi-target detection method based on short-time Fourier transform and fractional Fourier transform in this example are as described in Embodiment 1, and the detection process is also as follows figure 1 A total of 16 processes described in, will not be repeated. The radar system is: the radar works in the S-band, the maximum detection distance is 15km, the signal bandwidth is 1MHz, the pulse repetition period is 100μs, the pulse width is 10μs, the accumulation time is about 800ms, and the sampling frequency is 2MHz. In this example, it is assumed that three accelerated formation targets are detected, the initial distance of target 1...

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Abstract

The invention discloses a multi-target detection method based on short-time Fourier transform and fractional Fourier transform, which belongs to the technical field of the radar target detection. The method comprises the following steps that the short-time Fourier transform is firstly used for conducting the primary detection on a signal, then a binaryzation method is used for processing a primary detection result, phase position of the signal is kept in the processing, the fractional Fourier transform is used for detecting a signal after being restored by the short-time Fourier transform, by adopting multiple methods for combined processing, advantages of overcoming phenomenon that a strong signal side lobe presses a weak signal main lobe, improving the signal-to-noise ratio of the signal to be detected, and solving the problem of the large false alarm possibility which is caused by adopting traditional method to detect the signal at the low signal-to-noise ratio can be realized; and meanwhile, an image contrast method and a gradual elimination method are adopted, multiple strong signals and weak signals with different or identical frequency modulation rates can be detected by utilizing the space and power strength information of the signal, so that the detection probability and the calculation efficiency can be further improved, easiness in project realization is realized, and the method is worth of being adopted and popularized.

Description

1. Technical field [0001] The multi-target detection method based on short-time Fourier transform and fractional Fourier transform disclosed by the invention belongs to the technical field of radar target detection, and specifically relates to a method utilizing short-time Fourier transform and fractional Fourier transform Complete the detection of multiple targets with uniform acceleration / uniform deceleration, solve the problem that the main lobe of weak target signals is interfered by the side lobes of strong targets, and improve the detection ability of multiple targets in complex environments. 2. Background technology [0002] The detection problem of linear frequency modulated signal (LFM) occupies an important position in the field of non-stationary signal processing. It has the following two reasons: (1) LFM signal has the characteristics of large time-bandwidth product, strong anti-interference performance, and insensitive to frequency shift. , which can be used as ...

Claims

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Application Information

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IPC IPC(8): G01S7/41
Inventor 庞存锁侯慧玲王明泉魏媛媛张俊生
Owner ZHONGBEI UNIV
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