Self-adaptive waveform design method for improving millimeter wave radar detection estimation performance

A millimeter-wave radar and millimeter-wave technology, applied in radio wave measurement systems, radio wave reflection/re-radiation, measurement devices, etc., can solve problems such as low detection performance, achieve good convergence, and meet distance and speed resolution requirements , Improve the effect of target detection and distance speed resolution performance

Pending Publication Date: 2020-12-18
ZHEJIANG SCI-TECH UNIV
View PDF0 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problem of low target detection performance of millimeter-wave radar caused by limited platform space and transmission power in automatic driving, the present invention proposes the following technical solution: an adaptive waveform design method for improving the detection and estimation performance of millimeter-wave radar, including the following steps: Step 1: Establish a millimeter-wave phased array detection model based on the FMCW signal; Step 2: Analyze the relationship between the distance and velocity resolution and the transmit waveform parameters, and construct the transmit waveform parameter constraints considering the distance and velocity resolution; Step 3: Based on the maximum output SCNR Criteria, establish a joint optimization model of transmitting waveform parameters and receiving weights with distance and velocity resolution constraints, and obtain complex nonlinear problems about optimization variables; Step 4: Solve the obtained complex nonlinear problems alternately and iteratively, and obtain optimal transmitting waveform parameters and receive right, and the corresponding output SCNR

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
  • Self-adaptive waveform design method for improving millimeter wave radar detection estimation performance
  • Self-adaptive waveform design method for improving millimeter wave radar detection estimation performance
  • Self-adaptive waveform design method for improving millimeter wave radar detection estimation performance

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0013] Attached below figure 1 The implementation steps of the present invention are further described in detail: the present invention proposes a method for improving the detection probability of millimeter-wave radar targets, which is an adaptive waveform design method for improving the detection and estimation performance of millimeter-wave radar. Under the constraints of speed resolution, the joint design of waveform parameters and receiving weights is used to achieve the above goals. The method comprises the steps of:

[0014] First, based on the FMCW signal, the proposed method establishes a millimeter-wave phased array detection model.

[0015] Secondly, by analyzing the relationship between the distance and velocity resolution and the launch waveform parameters, the launch waveform parameter constraints considering the distance and velocity resolution are constructed.

[0016] Then, based on the maximum output SCNR criterion, a joint optimization model of transmittin...

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 self-adaptive waveform design method for improving millimeter wave radar detection estimation performance, belongs to the field of signal processing, and aims to solve the problem of relatively low millimeter wave radar target detection performance caused by limited platform space and transmitting power in automatic driving. The method comprises the following steps: firstly, based on an FMCW signal, establishing a millimeter wave phased array detection model; secondly, constructing emission waveform parameter constraints considering the distance and the speed resolution by analyzing the relationship between the distance and the speed resolution and the emission waveform parameters; then, based on a maximum output SCNR criterion, establishing a transmitting waveform parameter and receiving weight joint optimization model with distance and speed resolution constraints so as to improve millimeter wave radar target detection and distance and speed resolution performance; finally, solving, by the proposed method, the complex nonlinear optimization problem based on an alternating iteration method. By means of the invention, transmitted waveform parameters and receiving weight can be adaptively adjusted to improve target detection performance and meet distance and speed resolution requirements at the same time.

Description

technical field [0001] The invention belongs to the field of radar signal processing, and in particular relates to a joint design method of millimeter-wave radar waveform parameters and receiving rights under the constraints of distance and velocity resolution, which is used to improve the detection probability of millimeter-wave radar targets. Background technique [0002] In recent years, with the rapid iteration of the automotive industry, millimeter-wave radar has gradually become an indispensable sensor for autonomous driving due to its advantages of low cost, high precision, and good stability. Millimeter-wave radar transmits programmable signals to free space through the transmitter, and the receiver receives the echoes of targets and other objects, and then processes the obtained echoes based on relevant signal processing methods to perceive environmental information. It can be seen that the transmission signal runs through the whole process of environmental informat...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/931G01S13/536G01S7/41
CPCG01S7/415G01S13/536G01S13/931
Inventor 王洪雁薛喜扬周贺汪祖民
Owner ZHEJIANG SCI-TECH UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products