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Search and Study of Marked Code Structures for a Spatially Distributed System of Small-Sized Airborne Radars.
Vadim A Nenashev1, Sergey A Nenashev1
1Saint-Petersburg State University of Aerospace Instrumentation, 67, Bolshaya Morskaia Str., 190000 Saint-Petersburg, Russia.
Sensors (Basel, Switzerland)
|August 12, 2023
Summary
This study introduces novel marked code structures for multi-position radar systems. These codes enhance terrain mapping by enabling unique signal identification from each radar, improving data integration and object detection.
Area of Science:
- Remote Sensing
- Radar Systems Engineering
- Signal Processing
Background:
- Multi-position radar systems using small UAVs enhance terrain information by integrating multi-angle data.
- Unique marked signals are crucial for attaching reflected signals to specific transmitting positions in these systems.
- Identifying these unique signals in a joint radar channel is essential for effective data processing.
Purpose of the Study:
- To investigate and select code structures with low side lobes and uniform cross-correlation for multi-position radar probing signals.
- To develop a method for searching novel marked code structures for multi-position onboard systems.
- To enable precise object detection and high-resolution radar imaging through advanced signal modulation.
Main Methods:
- Analysis of side lobe levels for classical and modified Barker codes.
- Investigation of M-sequence generation features.
- Development of a technique for searching new marked code structures by modifying M-sequences, focusing on mutual correlation properties.
- Computer experiments to evaluate the correlation properties of novel marked codes.
Main Results:
- Identified that asymmetric alphabet Barker codes are effective for longer sequences.
- Developed a method for generating modified M-sequences with desirable correlation properties.
- Computer simulations confirmed the effectiveness of the proposed marked code structures for multi-position radar applications.
Conclusions:
- The proposed novel marked code structures are essential for synthesizing probing signals in spatially distributed multi-position radar systems.
- These codes facilitate high-probability object detection and precise coordinate determination.
- The findings support the formation of high-resolution radar images in multi-positional remote sensing.
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