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Method for hierarchically designing transmission waveforms of MIMI (multiple input multiple output) radar for detecting targets in clutter

A technology for transmitting waveforms and detecting targets, which is applied in the field of radar and can solve the problems of complex cost function, not considering the constant modulus constraints of the transmitting waveform, and being difficult to find.

Active Publication Date: 2014-08-06
XIDIAN UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

However, the cost function of this algorithm is very complex and does not take into account the constant modulus constraint of the transmitted waveform
Under the constant modulus constraint, the cost function is a NP (Non-deterministic Polynomial) difficult problem, which will be difficult to find a satisfactory solution

Method used

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  • Method for hierarchically designing transmission waveforms of MIMI (multiple input multiple output) radar for detecting targets in clutter
  • Method for hierarchically designing transmission waveforms of MIMI (multiple input multiple output) radar for detecting targets in clutter
  • Method for hierarchically designing transmission waveforms of MIMI (multiple input multiple output) radar for detecting targets in clutter

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Embodiment Construction

[0135] refer to figure 1 Illustrate the hierarchical design method of MIMO radar transmission waveform for detecting target in the clutter of the present invention, it may further comprise the steps:

[0136] Step 1. Establish a MIMO radar signal model to obtain prior knowledge of the strength of clutter in the air domain and the main lobe response in the time domain.

[0137] Among them, the MIMO radar system is composed of N isotropic transmitting and receiving uniform linear arrays with a spacing of d.

[0138] Among them, in the transmitted signal model, the transmitted signal waveform matrix X is expressed as X=[x 1 ,x 2 ,...,x N ],x m =[x m (1),x m (2),...,x m (N p )] T , x m (n)(m=1,...,N) represents the constant modulus signal transmitted by the mth array element antenna, and N represents the number of array elements; the composite signal at the far-field azimuth direction θ is expressed as s=Xax(θ), where a T (θ)=[1,e -j2πdsin(θ) / λ ,...,e -j2π(N-1)dsin(...

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Abstract

The invention belongs to the field of radar technologies, relates to designs for transmission waveforms of centralized MIMO (multiple input multiple output) radar, and discloses a method for hierarchically designing transmission waveforms of MIMO radar for detecting targets in clutter. The method includes steps of 1, building an MIMO radar signal model and acquiring the intensity of the clutter in a space domain and mainlobe response priori knowledge in a time domain; 2, designing autocorrelation matrixes Rx of transmission signals on the basis of intensity priori knowledge of the clutter in the space domain; 3, combining each optimal mainlobe synthesized signal (MSS) with a mismatched filter to suppress mainlob clutter signals; 4, designing transmission waveform matrixes under constant-modulus conditional constraints. The method has the advantages that the clutter suppression performance can be improved, and accordingly the radar can be used for detecting the targets in the heavy clutter.

Description

technical field [0001] The invention belongs to the field of radar technology, and relates to the design of transmission waveforms of centralized MIMO (Multiple Input Multiple Output) radars, in particular to a hierarchical design method for the transmission waveforms of MIMO radars for detecting targets in clutter, which can improve the suppression performance of clutter, Can be used for object detection in strong clutter. Background technique [0002] In conventional radars, the transmit waveform is usually fixed. Therefore, the received signal is the only source of adaptation to the electromagnetic environment, which limits system performance in complex propagation and interference environments. However, the radar transmit waveform design method based on prior knowledge can improve the flexibility of the whole system, so that satisfactory performance can be obtained in complex propagation and interference environments. Targets are detected in the clutter region, where t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41G01S7/36G01S7/42
CPCG01S7/2813G01S7/282
Inventor 纠博陈雁飞刘宏伟王英华戴丰周
Owner XIDIAN UNIV
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