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Target searching method and device based on spatial spectrum

A target search and spatial spectrum technology, applied to radio wave measurement systems, instruments, etc., can solve the problems of large amount of calculation and long processing time, and achieve the effect of extensive theoretical value

Active Publication Date: 2019-05-17
BEIJING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Therefore, the technical problem to be solved by the present invention is to overcome the defects of large amount of calculation and long processing time in the MUSIC spectrum estimation process in the prior art, thereby providing a target search method based on spatial spectrum

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  • Target searching method and device based on spatial spectrum
  • Target searching method and device based on spatial spectrum
  • Target searching method and device based on spatial spectrum

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Experimental program
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Embodiment 1

[0032] Provide a kind of target search method based on spatial spectrum in the present embodiment, adopt the fast MUSIC spectrum of approximate matrix calculation and random matrix sampling to carry out target search, comprise the following steps:

[0033] S11. Acquire signal matrices of multiple channels, decompose the signal matrices, and determine an information subspace and a noise subspace.

[0034] Considering a uniform linear array with M array elements, assuming that there are K targets to be estimated (K<M), the received signal matrix is:

[0035] X=AS+N

[0036] Among them, A=[a(θ 1 )a(θ 2 )…a(θ k )] T is an M×K dimensional direction vector matrix, and the orientation vector Taking the first receiving antenna element as a reference, the wave path difference of the kth target is d is the array element interval, λ is the signal wavelength; K target signal matrix is ​​Y=[y 1 (t) y 2 (t) ... y K (t)], its spatial orientation angle is θ k ;N=[n 1 (t) n 2 (t)...

Embodiment 2

[0079] In this embodiment, a server is provided, which can implement a target search method based on a spatial spectrum, which includes: a memory 51 and a processor 52, and the memory 51 and the processor 52 are connected to each other by communication, wherein the memory 51 and the processing The device 52 can be connected through a bus or in other ways. In FIG. 4, connection through a bus is taken as an example. Computer instructions are stored in the memory, and the processor implements the object search method based on spatial spectrum described in Embodiment 1 by executing the computer instructions.

[0080] As a non-transitory computer-readable storage medium, the memory 51 can be used to store non-transitory software programs, non-transitory computer-executable programs and modules. The processor 52 executes various functional applications and data processing of the processor by running the non-transitory software programs, instructions and modules stored in the memory ...

Embodiment 3

[0085] This embodiment provides a computer-readable storage medium, the computer-readable storage medium stores computer instructions, and the computer instructions implement the method in Embodiment 1. Those skilled in the art can understand that all or part of the processes in the methods of the above-mentioned embodiments can be completed by instructing related hardware through computer programs, and the programs can be stored in a computer-readable storage medium. During execution, it may include the processes of the embodiments of the above-mentioned methods. Wherein, the storage medium can be a magnetic disk, an optical disk, a read-only memory (Read-Only Memory, ROM), a random access memory (Random Access Memory, RAM), a flash memory (Flash Memory), a hard disk (Hard Disk Drive, abbreviation: HDD) or a solid-state drive (Solid-State Drive, SSD), etc.; the storage medium may also include a combination of the above-mentioned types of memory.

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Abstract

The embodiment of the invention provides a target searching method based on a spatial spectrum. The target searching method based on the spatial spectrum comprises the following steps that signal matrixes of a plurality of channels are obtained; the signal matrixes are obtained through decomposition, and information subspace and noise subspace are determined; and a spectrum peak is determined through an equivalent spatial spectrum matrix, a low-dimension matrix approaches to a high-dimension matrix in the equivalent spatial spectrum matrix, and a target signal incidence direction is determinedaccording to the spectrum peak position. According to the target searching method based on the spatial spectrum, in order to avoid the traverse complex rate of a spectrum searching process, the spectrum searching process is converted into two high-dimension matrix multiplication processes by the target searching method based on the spatial spectrum, and traverse searching of the angle dimension is avoided; and meanwhile, a matrix random sampling and low tank approximation method is further adopted, and high-dimension matrix multiplication of the low complex rate is realized. Compared with a traditional traverse spectrum searching method, the calculation complex rate can be reduced to linearity.

Description

technical field [0001] The invention relates to the field of information, in particular to a method and device for searching a target based on a spatial spectrum. Background technique [0002] Spatial spectrum estimation is an important research direction in array signal processing, and has extremely broad application prospects in many fields such as radar, communication, and sonar. Spatial spectrum estimation focuses on the ability of the processing system composed of spatial multi-sensor arrays to accurately estimate various parameters of the spatial signal of interest. The main purpose is to estimate the spatial parameters of the signal or the location of the source. [0003] MUSIC (Multiple Signal Classification), multiple signal classification, is a kind of spatial spectrum estimation algorithm. The idea is to use the covariance matrix of the received data (R x ) to perform eigendecomposition, separate the signal subspace and noise subspace, use the orthogonality betw...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/02
Inventor 李斌赵成林许方敏
Owner BEIJING UNIV OF POSTS & TELECOMM