Bharat Electronics Develops Multi-Target Tracker for Surveillance Radar
“Complex tracker algorithms are available out of the box, saving a huge amount of time and money.”
Key Outcomes
- Saved time and effort by using built-in algorithms
- Simplified customization by using object-oriented approach for API implementation
- Generated code and performed desktop prototyping using MATLAB Coder
Bharat Electronics Limited (BEL) designs, develops, and manufactures a wide range of products in the fields of radar, EW, defense communication, opto-electronics, and semiconductors.
BEL’s Naval Systems Group wanted to develop a field-deployable multi-target tracking module using Sensor Fusion Tracking Toolbox™ and MATLAB Coder™ and evaluate its performance in coastal surveillance scenarios.
In the first phase of the project, BEL evaluated SFTT in MATLAB® with recorded data sets and compared the results with recorded track reports from an OEM tracker.
In the second phase, they performed validation using multiple tracker lines for track-to-track–level fusion architecture using covariance-based fusion and found the results to be satisfactory.
The third phase helped BEL move closer to deployment by generating C/C++ code for the benchmark tracker algorithm module. They built a custom wrapper function in C/C++ to interface with the customer signal processing chain.
With the last phase, they did in-house custom enhancements in C/C++ code. This approach enabled BEL to transition from a black box supplied by an OEM to a white-box approach for complete algorithm development.
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