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Radar target constant false alarm detection method based on sparse signal processing

A technology of constant false alarm detection and sparse signal, applied in the field of radar, can solve problems such as the inability to eliminate the target shading effect and the reduction of detection probability.

Active Publication Date: 2020-10-20
XIDIAN UNIV
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Problems solved by technology

This method can effectively improve the target shadowing effect in the multi-interference background in constant false alarm detection, and improve the detection probability of constant false alarm detection under low signal-to-noise ratio, but its defect is that it can only improve but not eliminate the target shadowing effect. The detection probability will still decrease when the target is dense

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  • Radar target constant false alarm detection method based on sparse signal processing
  • Radar target constant false alarm detection method based on sparse signal processing
  • Radar target constant false alarm detection method based on sparse signal processing

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Embodiment Construction

[0033] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0034] refer to figure 1 , the present invention comprises the following steps:

[0035] Step 1) Obtain pulse Doppler radar system parameters:

[0036] The observation domain of the pulse Doppler radar system is divided to obtain N t distance units The radar system transmits a narrowband pulse signal s(t) to the observation domain, and receives The echo signal of is y(t):

[0037]

[0038] f d (k) = 2v k / λ

[0039] Among them, N t >N s , t represents the time of transmitting narrowband pulse signal s(t), N s Represents the number of symbols of the narrowband pulse signal s(t), x(k) represents the kth distance unit P k target level, f d (k) means P k Doppler frequency of the target at v k means Pk The radial velocity of the target at , λ represents the wavelength of s(t), τ(k) represents P k Echo delay at , τ(k)∈[T...

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Abstract

The invention discloses a radar target constant false alarm detection method based on sparse signal processing. The method comprises the following steps of: obtaining the parameters of a pulse Dopplerradar system; constructing a sparse strip-shaped dictionary matrix A; calculating a detection statistic magnitude |AHy|; calculating a judgment threshold lambda; and obtaining a radar target constantfalse alarm detection result. According to the method, a sparse signal processing model is adopted, the sparse strip-shaped dictionary matrix A is constructed, and the detection statistic magnitude is calculated through A, so that when a target exists near a certain range unit, the detection statistic magnitude of the range unit is increased to some extent; and the sparse signal processing modelis adopted, the judgment threshold is calculated through known noise power, and the problem that in the prior art, the judgment threshold is raised by a target in a reference window is solved. Throughthe combined action of the two, the target detection probability is improved while the constant false alarm characteristic of radar target detection is ensured. The method is especially suitable fordense radar target scenes.

Description

technical field [0001] The invention belongs to the technical field of radar, and relates to a radar target CFAR detection method, in particular to a radar target CFAR detection method based on sparse signal processing, which can be used for radar target CFAR detection, especially dense radar targets. Background technique [0002] Dense radar targets are emerging research objects that have appeared in recent years. They usually refer to radar targets that are densely adjacent to each other and appear in the same reference window, such as UAV "bee swarms" and small boats "wolf packs". Calculating the target level and judging whether the target exists through the radar echo are the key issues of radar target detection. In the process of detecting radar targets, the radar will be interfered by various noises. When the noise power changes in a pure noise environment, the detection algorithm needs to ensure that the false alarm probability does not change, so as to avoid overload...

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Application Information

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IPC IPC(8): G01S7/41
CPCG01S7/41
Inventor 陈景轩周生华刘宏伟卢靖苏洪涛
Owner XIDIAN UNIV
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