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IAA-based non-uniform sparse array direction finding method with covariance matrix vectorization function

A technology of covariance matrix and sparse array, which is applied in the direction of radio wave measurement system, advanced technology, instrument, etc., can solve problems such as direction finding ambiguity, achieve the effect of moderate calculation amount and increase degree of freedom

Active Publication Date: 2019-04-19
NO 8511 RES INST OF CASIC
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AI Technical Summary

Problems solved by technology

However, when the distance between the array elements is greater than half a wavelength, there will be a problem of ambiguity in direction finding

Method used

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  • IAA-based non-uniform sparse array direction finding method with covariance matrix vectorization function
  • IAA-based non-uniform sparse array direction finding method with covariance matrix vectorization function
  • IAA-based non-uniform sparse array direction finding method with covariance matrix vectorization function

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specific Embodiment approach

[0050] see figure 1 , the specific embodiment of the present invention is as follows:

[0051] Step 1. The array antennas at the receiving end are arranged according to the structure of the non-uniform sparse array, and the received signal model of the non-uniform array structure is obtained. A nested array consists of two uniform linear arrays, such as figure 2 As shown, the number of elements of the inner uniform linear array is M 1 , the array element spacing is d 1 (Take half wavelength); the number of uniform linear array elements in the outer layer is M 2 , the array element spacing is d 2 =(M 1 +1)d 1 , the array element positions of the two sub-arrays are:

[0052]

[0053] A coprime matrix is ​​composed of two sparse subarrays. A pair of coprime integers M and N are selected and M image 3 As shown, a pair of sparse uniform linear sub-arrays is constructed, wherein the first sub-array contains 2M antenna elements with an array element spacing of Nd, and the ...

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Abstract

The invention discloses an IAA-based non-uniform sparse array direction finding method with a covariance matrix vectorization function. On the basis that a non-uniform sparse array receives virtual array equivalent single snapshot receiving data obtained after data covariance matrix vectorization, redundancy elimination and reordering, an IAA algorithm is adopted for power estimation and recoveryof a covariance matrix rank, and a direction finding result is further obtained. The method is suitable under the conditions of a known information source number and an unknown information source number, the calculation amount is moderate, the advantages of the non-uniform sparse array of increasing the degree of freedom, resolution and direction finding accuracy are maintained, and the purpose ofunderdetermined DOA estimation when the information source number is larger than an array element number can be achieved.

Description

technical field [0001] The invention belongs to the field of array signal processing, and in particular relates to a non-uniform sparse array direction finding method based on IAA covariance matrix vectorization. Background technique [0002] Direction-of-Arrival (DOA) estimation is one of the core research contents in the field of radar reconnaissance and countermeasures, and it plays a vital role in obtaining the initiative of the battlefield and fighting for the right to control information. In the modern complex electromagnetic environment, the signal sources are dense and complex, and it is often necessary to conduct accurate direction finding for multiple sources. The traditional direction finding system is difficult to complete the mission. The super-resolution array direction finding technology can accurately estimate the orientation of multiple signals at the same time, which overcomes the defects of the traditional direction finding system. The MUSIC (Multiple Sig...

Claims

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Application Information

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IPC IPC(8): G01S7/40G01S7/41
CPCG01S7/4004G01S7/418Y02D30/70
Inventor 干鹏陈卓朱晓丹侯庆禹汤永浩赵洪冰李贵显
Owner NO 8511 RES INST OF CASIC
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