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Airborne mimo radar adaptive clutter suppression method based on space-time sampling matrix

An adaptive clutter and sampling matrix technology, applied in the field of signal processing, can solve the problems such as the increase of the system degree of freedom calculation amount and the sample demand, the increase of the clutter degree of freedom, and the limited improvement of the clutter suppression performance. The effect of detection performance, reduction in computational complexity, and robustness enhancement

Active Publication Date: 2022-07-15
AIR FORCE EARLY WARNING ACADEMY
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Problems solved by technology

[0003] The traditional dimension-reduced STAP method and the reduced-rank STAP method are also applicable to airborne MIMO radars, but there are two problems: First, the clutter degree of freedom is significantly increased due to waveform diversity after the MIMO system is adopted, and clutter suppression is more challenging ; Second, the increase in the degree of freedom of the system leads to an increase in the amount of computation and sample demand
When the prior knowledge is erroneous, the KA-STAP method has limited improvement in clutter suppression performance

Method used

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[0055] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0056] see Figure 1-2 As shown, the present invention provides an airborne MIMO radar adaptive clutter suppression method based on a space-time sampling matrix, including the following steps:

[0057] Step 1: For airborne MIMO radar echo data, use space-time sliding window processing to estimate clutter power;

[0058] The clutter power estimation unit uses the space-time sliding window processin...

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Abstract

The invention discloses an airborne MIMO radar adaptive clutter suppression method based on a space-time sampling matrix. : Combining the space-time equivalent array form and the clutter power calculation matrix estimated in step 1 G ;Step 3: Calculate the space-time sampling matrix according to the space-time equivalent array form B ; Step 4: Use the results of steps 2 and 3 to construct a clutter noise covariance matrix; Step 5: Use the echo data to estimate the clutter noise covariance matrix; Step 6: Form the final clutter noise according to the results of steps 4 and 5 covariance matrix; step 7: form space-time adaptive weights according to the results of step 6, and perform clutter suppression processing.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and more particularly, relates to an airborne MIMO radar adaptive clutter suppression method based on a space-time sampling matrix. Background technique [0002] MIMO radar is a new system radar that introduces the multiple-input multiple-output technology in the wireless communication system into the radar field and combines it with the digital array technology. The concept of MIMO radar was first proposed in 2003 by Bliss and Forsythe of Lincoln Laboratory in the United States. In MIMO radar, multi-input usually refers to the simultaneous transmission of incoherent waveforms by multiple array elements, and multi-output refers to the simultaneous reception of multiple array elements, and a matched filter bank is used to separate each transmitted component in the echo signal. In contrast, multiple elements of a traditional phased array radar transmit the same waveform at the same time,...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/41G01S7/42G06F17/16
CPCG01S7/41G01S7/42G06F17/16Y02A90/10
Inventor 谢文冲熊元燚王永良柳成荫陈威田步秋
Owner AIR FORCE EARLY WARNING ACADEMY
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