Combined direction finder and radar system, method and computer program product
US-9213095-B2 · Dec 15, 2015 · US
US2021364591A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2021364591-A1 |
| Application number | US-202117395478-A |
| Country | US |
| Kind code | A1 |
| Filing date | Aug 6, 2021 |
| Priority date | May 3, 2020 |
| Publication date | Nov 25, 2021 |
| Grant date | — |
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Disclosed is a high-resolution accurate two-dimensional direction-of-arrival estimation method based on coarray tensor spatial spectrum searching with coprime planar array, which solves the problem of multi-dimensional signal loss and limited spatial spectrum resolution and accuracy in existing methods. The implementation steps are: constructing a coprime planar array; tensor signal modeling for the coprime planar array; deriving coarray statistics based on coprime planar array cross-correlation tensor; constructing the equivalent signals of a virtual uniform array; deriving a spatially smoothed fourth-order auto-correlation coarray tensor; realizing signal and noise subspace classification through coarray tensor feature extraction; performing high-resolution accurate two-dimensional direction-of-arrival estimation based on coarray tensor spatial spectrum searching. In the present method, multi-dimensional feature extraction based on coarray tensor statistics for coprime planar array is used to implement high-resolution, accurate two-dimensional direction-of-arrival estimation based on tensor spatial spectrum searching, and the method can be used for passive detection and target positioning.
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What is claimed is: 1 . A high-resolution accurate two-dimensional direction-of-arrival estimation method based on coarray tensor spatial spectrum searching with coprime planar array, comprising the following steps of: (1) constructing, by a receiving end, an architecture using 4M x M y +N x N y −1 physical antenna sensors according to a structure of the coprime planar array, wherein M x , N x and M y , N y are respectively a pair of prime integers, and M x <N x , M y <N y ; and the coprime planar array can be decomposed into two sparse uniform subarrays 1 and 2 ; (2) assuming that there are K far-field narrowband incoherent sources from directions of {(θ 1 , φ 1 ), (θ 2 , φ 2 ), . . . (θ K , φ K )}, then the received signal of the sparse subarray 1 of the coprime planar array being expressed by a three-dimensional tensor X 1 ∈ 2M x ×2M y ×L (L is the number of snapshots) as: x 1 = ∑ k = 1 K a M x ( θ k , φ k ) ∘ a My ( θ k , φ k ) ∘ s k + 𝒩 1 , where s k =[s k,1 , s k,2 , . . . , s k,L ] T is a multi-snapshot sampling signal waveform corresponding to the k th incident source, [⋅] T represents transposition operation, ∘ represents a vector outer product, 1 is a noise tensor independent of each source, a Mx (θ k , φ k ) and a My (θ k , φ k ) are respectively steering vectors of 1 in x-axis and y-axis directions, corresponding to the k th source with a direction-of-arrival of (θ k , φ k ), which are expressed as: a Mx ( θ k , φ k ) = [ 1 , e - j π u 1 ( 2 ) sin ( φ k ) cos ( θ k ) , … , e - j π u 1 ( 2 M x ) sin ( φ k ) cos (
Two dimensional planar arrays · CPC title
Multi-channel systems specially adapted for direction-finding, i.e. having a single antenna system capable of giving simultaneous indications of the directions of different signals (systems in which the directions of different signals are determined sequentially and displayed simultaneously G01S3/04, G01S3/14) · CPC title
using antennas spaced apart and measuring phase or time difference between signals therefrom, i.e. path-difference systems · CPC title
Receivers · CPC title
Monitoring or calibrating · CPC title
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