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A Clutter Rank Estimation Method and Device Based on Uncertain Prior 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: 2022-05-06
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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  • A Clutter Rank Estimation Method and Device Based on Uncertain Prior Knowledge
  • A Clutter Rank Estimation Method and Device Based on Uncertain Prior Knowledge
  • A Clutter Rank Estimation Method and Device Based on Uncertain Prior Knowledge

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no. 1 example

[0027] In order to solve the technical problem in the related art that when the clutter rank is estimated based on prior knowledge with errors, the estimated clutter rank error is large and the clutter suppression performance of the filter is poor, this embodiment proposes a method based on Clutter rank estimation methods with uncertain prior knowledge, such as figure 1 Shown is a schematic flow chart 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 positions of the equivalent sampling array according to uncertain prior knowledge.

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

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

no. 2 example

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

[0062] In this embodiment, the beneficial effect of the present invention on clutter rank estimation is illustrated through simulation data. Suppose the 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 airborne speed, T r is the pulse repetition interval, d 0 is the array cell interval. The clutter within a given range is divided into 361 clutter slices and assuming that each clutter slice obeys the same distribution. At a given clutter-to-noise ratio CNR (in decibels), each clutter obeys a mean value of 0, variance of 10 10 / (361CNR) Complex Gaussian process. The thermal noise of the receiver obeys the mean value is 0, the variance Complex Gaussian process. In the simulation experiment of this embodiment, unless otherwi...

no. 3 example

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

[0068] A position determining module 301, configured to determine the element position of the equivalent sampling array according to uncertain prior knowledge;

[0069] A bandwidth calculation module 302, configured to calculate a corresponding signal bandwidth according to the spatial frequency of the signal;

[0070] Aperture calculation module 303, configured 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 confi...

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Abstract

According to a method and device for clutter rank estimation based on uncertain prior knowledge disclosed in the embodiments of the present invention, firstly, according to the uncertain prior knowledge, the element position of the equivalent sampling array is determined, and the corresponding clutter rank is calculated according to the spatial frequency of the signal Signal bandwidth; then calculate the array aperture of the equivalent sampling array corresponding to the position of the array element; finally, based on the signal bandwidth and the array aperture of the equivalent sampling array, estimate the clutter rank of the preset clutter plate direction angle of the array radar. Through the implementation of the present invention, the robustness of clutter rank estimation can be effectively improved, thereby guaranteeing the clutter suppression performance of the filter, and can be well applied to front-side-looking 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 method and device for clutter rank estimation based on uncertain prior knowledge. Background technique [0002] Clutter suppression is an important task for airborne radar to perform effective target detection, and the clutter rank is a key parameter required for effective clutter suppression based on clutter subspace or feature analysis-based filters, because the clutter rank directly affects The clutter suppression performance of the designed filter, so the clutter rank estimation has always been one of the core issues concerned by airborne radar. [0003] In related technologies, researchers usually use the BT theory based on the bandwidth-aperture product 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 satisfying th...

Claims

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Application Information

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Patent Type & Authority Patents(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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