Paper PublishingSpatial Polarimetric Time Frequency Distribution Based DOA Estimation Combining ESPRIT with MUSIC
Objective
The main objective is DOA estimation of HFSWR echo signals. This study uses a polarisation sensitive array as a model and combines it with a time-frequency analysis approach for DOA estimation of HFSWR echo signals, allowing it to fully use the polarisation sensitive array.
Abstract
The emphasis of study in an array signal processing of High-Frequency Surface Wave Radar has always been spatial spectrum estimation technology (HFSWR). This study uses a polarisation sensitive array as a model and combines it with a time-frequency analysis approach for DOA estimation of HFSWR echo signals, allowing it to fully use the polarisation sensitive array. Signal information in the spatial, time-frequency, and polarisation domains. The MUSIC and ESPRIT time-frequency Integrated polarisation information techniques are investigated, and a better method is provided based on the findings. Both algorithms have advantages and downsides. The revised approach uses the polarised time-frequency ESPRIT technique to assess the azimuth angles of signals and then selects a narrow scope centred on each azimuth. Within the scope, spectral peak search using MUSIC yields a more accurate DOA-estimated value. Because of the precision of the DOA estimation, it may save calculation time, and their performance is good. Computer simulations were used to examine the situation.
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Block Diagram
Specifications
Software: Matlab 2018 or above
Hardware:
Operating Systems:
- Windows 10
- Windows 7 Service Pack 1
- Windows Server 2019
- Windows Server 2016
Processors:
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Learning Outcomes
· Introduction to Matlab
· What is EISPACK & LINPACK
· How to start with MATLAB
· About Matlab language
· Matlab coding skills
· About tools & libraries
· Application Program Interface in Matlab
· About Matlab desktop
· How to use Matlab editor to create M-Files
· Features of Matlab
· Basics on Matlab
· What is an Image/pixel?
· About image formats
· Introduction to Image Processing
· How digital image is formed
· Importing the image via image acquisition tools
· Analyzing and manipulation of image.
· Phases of image processing:
o Acquisition
o Image enhancement
o Image restoration
o Color image processing
o Image compression
o Morphological processing
o Segmentation etc.,
· How to extend our work to another real time applications
· Project development Skills
o Problem analyzing skills
o Problem solving skills
o Creativity and imaginary skills
o Programming skills
o Deployment
o Testing skills
o Debugging skills
o Project presentation skills
o Thesis writing skills
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