Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Bilateral constraint self-adapting beam forming method used for MIMO radar

An adaptive beam, multi-output technology, applied in the direction of re-radiation, radio wave measurement system, radio wave reflection/re-radiation, etc., can solve the problems of multi-sample number, large calculation amount, reducing sample number and calculation amount, etc. To achieve the effect of reducing the number of samples

Inactive Publication Date: 2009-02-18
XIDIAN UNIV
View PDF0 Cites 48 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the shortcomings of the existing adaptive beamforming method applied to MIMO radar, that is, the need for a large number of samples and a large amount of calculation, the present invention proposes a bilateral constrained adaptive beamforming method, in this method In , the optimal weight of sending and receiving constraints is calculated by a double iteration method, which greatly reduces the number of samples and the amount of calculation required

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Bilateral constraint self-adapting beam forming method used for MIMO radar
  • Bilateral constraint self-adapting beam forming method used for MIMO radar
  • Bilateral constraint self-adapting beam forming method used for MIMO radar

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] The implementation process of the method of the present invention will be described below with reference to the accompanying drawings.

[0031] according to figure 2 and image 3 , the bilateral constrained adaptive beamforming method and data processing flow of the present invention are as follows:

[0032] 1. Observing and sampling K times of echo signals, and selecting K≥M=N=10. Arrange all the vectors obtained by sampling the same echo signal into a data matrix by column, and K data matrices can be obtained. According to formula (1), these K matrices can be expressed as:

[0033] Y k =αA(θ)S k +W k k=1, 2, ..., K (3)

[0034] Assuming that each echo signal is sampled L times, then Y k =[y k [1],y k [2],...,y k [L]] M×L is the sampling data matrix of the kth echo, S k =[s k [1],s k [2],...,s k [L]] M×L is the transmitted signal data matrix corresponding to the kth echo, W k =[w k [1],w k [2],...,w k [L]] M×L is the noise data matrix;

[...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a bilateral constraint self-adaptive wavebeam forming method for a multiple-input-multiple-output (MIMO) radar, which can constrain both transmitting signals and receiving signals. Firstly, a plurality of transmitting signal data can be recorded, and the corresponding echo signals can be sampled, all vectors which are obtained by the recorded transmitting signal data and the sampled echo signals are respectively ranked by row to form a data matrix, and an optimal weight vector required for forming the wavebeam is calculated by the dual iterative calculation method, finally, the calculated optimal weight can be used to form the wavebeam. The method can overcome the shortcomings of large sample number and complex calculation in traditional self-adaptive wavebeam-forming method which is applied to the MIMO radar. Compared with the traditional self-adaptive wavebeam-forming method, the obtained antenna array pattern is provided with lower side lobe and better wavebeam shape preserving ability. The performance by using the method to perform Doppler frequency detection for movable object after the received MIMO radar data is filtered in spatial field also exceeds that of the traditional self-adaptive wavebeam-forming method.

Description

technical field [0001] The invention belongs to the technical field of radar signal processing, and specifically, simultaneously constrains and weights the process of multiple-input multiple-receive (hereinafter referred to as MIMO) radar transmitting signals and receiving echoes, and performs integrated transmitting and receiving beamforming for dynamic Object detection and direction of arrival (DOA) estimation. Background technique [0002] The theory of radar system has been developed by leaps and bounds in the past 50 years, and the advanced radar in the world today has been able to perform multi-beam forming, thereby scanning the entire observation space at the same time. In recent years, the application of the MIMO antenna system in the communication system has greatly improved the performance of the communication system compared with the single-antenna system. Inspired by this, people introduced the principle of multiple input and multiple output into the field of ra...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G01S7/41G01S13/02
Inventor 冯大政吕晖李晓明韩建莉刘宏伟向聪
Owner XIDIAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products