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Distributed compact sensing matrix tracking method based on cross array radar system

A technology of perception matrix and radar system, applied in radio wave measurement systems, instruments, etc., can solve the problems of complicated hardware system design and increase of radar design cost, etc.

Inactive Publication Date: 2015-10-14
XI AN JIAOTONG UNIV
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Problems solved by technology

However, these works require the design of additional hardware systems to generate specific waveforms or realize sensing matrices, and the design of these hardware systems is very complicated, which increases the design cost of the radar to a certain extent

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  • Distributed compact sensing matrix tracking method based on cross array radar system
  • Distributed compact sensing matrix tracking method based on cross array radar system
  • Distributed compact sensing matrix tracking method based on cross array radar system

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Embodiment Construction

[0053] see Figure 1 to Figure 4 As shown, the present invention contemplates a cross-array radar system mounted on an airborne platform. The radar consists of two mutually perpendicular non-uniform linear arrays containing N array elements. The distance between the array elements of the non-uniform linear array and the origin satisfies the formula: d i = e (2.15+0.25i) , in millimeters. where d i Indicates the distance from the i-th array element to the origin on the positive or negative half axis. The height of the airborne platform is H and it is fixed. The chosen coordinate system is as figure 1 shown. The angle variables φ and θ represent pitch and azimuth angles. The radar array element emits a chirp signal, and its carrier frequency is f c =c / λ c , where c is the propagation velocity, λ c is the wavelength.

[0054] A typical array receiving signal model is introduced below. First, consider that N far-field narrowband signals are incident on a certain array...

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Abstract

The invention discloses a distributed compact sensing matrix tracking method based on a cross array radar system, comprising the following steps: (1) obtaining compact sensing matrixes psiX and psiY according to sensing matrixes phiX and phiY corresponding to two arrays in a cross array radar; (2) carrying out processing by an orthogonal matching tracking algorithm to obtain initial estimates S(^)<ini><X> and S(^)<ini><Y> of a correct subspace; (3) forming two candidate column sets f(^)<X> and f(^)<Y> according to all the columns in a plurality of similar column groups corresponding to the initial estimates S(^)<ini><X> and S(^)<ini><Y>, performing union operation on the two candidate column sets to obtain the latest candidate column set f(^), performing permutation and combination on the columns to find a column combination minimizing the residual sum and obtain a correct support set; and (4) obtaining corresponding azimuth angle and pitching angle according to the correct support set. By constructing low-coherence compact sensing matrixes, the problem that a sparse vector cannot be perfectly reconstructed with large probability due to the fact that the original perception matrix has high coherence as the radar resolution increases is overcome, and the result is more accurate through fusion of the information of two columns.

Description

【Technical field】 [0001] The invention relates to the technical field of radar signal processing, in particular to a distributed compact sensing matrix tracking method based on a high-resolution cross-array radar system. 【Background technique】 [0002] Compressed sensing technology is widely used in radar signal processing systems. Compared with traditional radar, compressed sensing radar has the following advantages: 1) The radar signal processing system based on compressed sensing technology directly reconstructs the radar sparse scene according to the received echo signal, eliminating the need for matched filters at the receiving end [1] , so as to keep the maximum original measurement information; 2) The dimensionality of the data sampled by compressed sensing technology is far lower than that obtained by sampling according to the Nyquist sampling theorem, and is only proportional to the sparsity of the data , so that the collection of information is realized in a real ...

Claims

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Application Information

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IPC IPC(8): G01S7/41
CPCG01S7/41
Inventor 刘静盛明星宋大伟尚社韩崇昭
Owner XI AN JIAOTONG UNIV
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