MIMO-STAP steady waveform design method based on incomplete clutter prior knowledge

A technology of waveform design and prior knowledge, applied in the field of signal processing, which can solve problems such as poor detection performance and uncertainty

Inactive Publication Date: 2015-12-23
DALIAN UNIV
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Problems solved by technology

However, in practical engineering applications, these parameters must be estimated, so estimation errors inevitably exist, so they are uncertain
Thus, the output SINR of a transmit waveform optimized based on these estimates may be sensitive to these estimation errors
This means that optimizing a waveform based on a certain set of estimated parameters will have poorer detection performance than based on other more reasonable estimates

Method used

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  • MIMO-STAP steady waveform design method based on incomplete clutter prior knowledge
  • MIMO-STAP steady waveform design method based on incomplete clutter prior knowledge
  • MIMO-STAP steady waveform design method based on incomplete clutter prior knowledge

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Embodiment Construction

[0063] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0064] Such as Figure 1 to Figure 4 As shown, the realization process of the MIMO-STAP robust waveform design method based on incomplete clutter prior knowledge of the present invention is as follows:

[0065] (1) Establish MIMO-STAP model

[0066] 1a) MIMO-STAP received signal description

[0067] Such as figure 1 As shown, in this MIMO-STAP scenario, the transmitting array and receiving array of the MIMO radar are both uniform linear arrays and placed in parallel, the number of array elements is M and N respectively, and the distance between array elements is d T and d R . The radar platform flies in a straight line at a constant speed along the direction parallel to the transmitting and receiving arrays, and the flying height and speed are h and v respectively. The angle between the target and the normal line of the transmitting and receiving array ...

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Abstract

The invention provides an MIMO-STAP steady waveform design method based on incomplete clutter prior knowledge and belongs to the signal processing field. An iterative method is provided to solve the non-linear steady waveform optimization problem based on diagonal loading, each step of iteration is slackened to an SDP problem based on diagonal loading and therefore a convex optimization method can be used for solution. The method comprises steps: firstly, an MIMO-STAP model is established to obtain expression of space-time snapshot in an interesting distance ring; secondly, clutter gauss distribution is carried out, output SINR expression in an optimal MIMO-STAP processor condition is obtained in an interference irrelevant condition; thirdly, a waveform optimization problem raising the system detection performances is expressed under emission waveform energy constraint; fourthly, an iteration method based on diagonal loading is provided to solve the steady waveform optimization problem.

Description

technical field [0001] The invention belongs to the field of signal processing, and further relates to a robust waveform design method for maximizing the detection performance in the worst case of MIMO-STAP. Background technique [0002] Target detection is a basic task of the radar system. In order to improve the detection performance of the system, in the phased array system, researchers basically focus on the receiving end, that is, to study how to use the weighting method to improve the detection performance of the system. Basically don't think too much about it. As MIMO radar has become the focus of more and more researchers, some scholars have begun to study target detection based on MIMO radar. After several years of research, the advantages of MIMO radar over phased array radar in target detection have been gradually recognized by people. This advantage comes from the fact that the effect of waveform diversity in statistical MIMO radar systems is similar to that of ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/42
CPCG01S7/42
Inventor 王洪雁裴炳南裴腾达
Owner DALIAN UNIV
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