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Clutter rank estimation method and device based on uncertain priori knowledge

A technology of prior knowledge and clutter rank, which is applied in the field of clutter rank estimation based on uncertain prior knowledge, can solve the problems of large clutter rank error and poor filter clutter suppression performance, and improve robustness , good application, and the effect of guaranteeing clutter suppression performance

Active Publication Date: 2020-01-03
SHENZHEN UNIV
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Problems solved by technology

[0004] The main purpose of the embodiments of the present invention is to provide a clutter rank estimation method and device based on uncertain prior knowledge, which can at least solve the problem of clutter rank estimation based on prior knowledge with errors in the related art. The problem of large wave rank error and poor clutter suppression performance of the filter

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  • Clutter rank estimation method and device based on uncertain priori knowledge
  • Clutter rank estimation method and device based on uncertain priori knowledge
  • Clutter rank estimation method and device based on uncertain priori knowledge

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no. 1 example

[0027] In order to solve the technical problems in the related art that the estimated clutter rank error is large and the clutter suppression performance of the filter is poor when the clutter rank is estimated based on prior knowledge with errors, this embodiment proposes a method based on The clutter rank estimation method with uncertain prior knowledge, such as figure 1 Shown as a schematic diagram of the basic flow of the clutter rank estimation method provided in this embodiment, the clutter rank estimation method proposed in this embodiment specifically includes the following steps:

[0028] Step 101: Determine the element position of the equivalent sampling array according to the uncertain prior knowledge.

[0029] In an optional implementation manner of this embodiment, the specific implementation manner of step 101 can be expressed as follows:

[0030] Obtain the space-time steering vector component model corresponding to the nth array element and the mth pulse echo of the a...

no. 2 example

[0061] In order to better explain the content of the present invention, this embodiment uses a specific example to explain the effect of the present invention.

[0062] In this embodiment, simulation data is used to illustrate the beneficial effects of the present invention in clutter rank estimation. Assuming radar parameter h p =125m / s,v p =4000m,T r =1 / 4000s and d 0 =0.0625m, where h p Is the height of the airborne platform, v p Is the onboard speed, T r Is the pulse repetition interval, d 0 Is the array unit interval. The clutter in a given range is divided into 361 clutter plate blocks and assuming that each clutter plate obeys the same distribution, at a given clutter-to-noise ratio CNR (in decibels), each clutter obeys an average value of 0, Variance of 10 10 / (361CNR) Complex Gaussian process. The thermal noise of the receiver obeys the mean value of 0, and the variance Complex Gaussian process. In the simulation experiment of this embodiment, unless otherwise specifie...

no. 3 example

[0067] In order to solve the technical problem in the related art that the estimated clutter rank error is large and the clutter suppression performance of the filter is poor when the clutter rank is estimated based on prior knowledge with errors, this embodiment shows a method based on Clutter rank estimation device with uncertain prior knowledge, please refer to image 3 , The clutter rank estimation device of this embodiment includes:

[0068] The position determination module 301 is used to determine the position of the element of the equivalent sampling array according to the uncertain prior knowledge;

[0069] The bandwidth calculation module 302 is configured to calculate the corresponding signal bandwidth according to the spatial frequency of the signal;

[0070] The aperture calculation module 303 is used to calculate the array aperture of the equivalent sampling array corresponding to the position of the array element;

[0071] The clutter rank estimation module 304 is used ...

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Abstract

An embodiment of the invention discloses a clutter rank estimation method and a clutter rank estimation device based on uncertain priori knowledge. The clutter rank estimation method comprises the steps of: firstly, determining array element positions of an equivalent sampling array according to the uncertain priori knowledge, and calculating a corresponding signal bandwidth according to a spatialdomain frequency of a signal; secondly, calculating an array aperture of the equivalent sampling array corresponding to the array element positions; and finally, estimating a clutter rank of a presetclutter plate direction angle of an array radar based on the signal bandwidth and the array aperture of the equivalent sampling array. By implementing the clutter rank estimation method and the clutter rank estimation device, the robustness of clutter rank estimation can be effectively improved, so that the clutter suppression performance of a filter is guaranteed, and the filter can be well applied to front-side-looking airborne radars and non-front-side-looking airborne radars.

Description

Technical field [0001] The invention relates to the technical field of radar signal processing, in particular to a clutter rank estimation method and device based on uncertain prior knowledge. Background technique [0002] Clutter suppression is an important task of airborne radar for effective target detection, and clutter rank is a key parameter required for effective clutter suppression based on clutter subspace or feature analysis filters, because clutter rank directly affects The clutter suppression performance of the designed filter, so clutter rank estimation has always been one of the core issues of airborne radar. [0003] In related technologies, researchers usually use the bandwidth-aperture product BT theory and its extended BT theory to estimate the clutter rank. Among them, the BT theory gives the clutter rank in the case of continuous aperture and bandwidth. For the side-looking airborne radar that meets the Nyquist sampling condition, the clutter rank given by the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/292G01S7/41
CPCG01S7/2923G01S7/414
Inventor 阳召成汪小叶何凯旋黄建军
Owner SHENZHEN UNIV
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