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NXP_Support_Package​_S32R

This toolbox represents the MATLAB Installer Add-On for the NXP RADAR Toolbox for S32R

15 Downloads

Updated 11 Nov 2019

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To install the NXP RADAR Toolbox for S32R, please follow these steps:

1. Go to MATLAB Add-On Manager and select the NXP Support Package S32R toolbox.
2. Select Open Folder option to navigate to the installation path.
3. Run NXP_Support_Package_S32R.m script and follow the steps shown on the UI

The NXP RADAR Toolbox for MATLAB is a complementary integrated development environment for S32R processor which is a 32-bit Power Architecture-based microcontroller for automotive and industrial radar applications. It offers an increased level of integration available to designers of next-generation automotive radar modules. Designed to address advanced radar signal processing capabilities and merge it with microcontroller capabilities for generic software tasks and car bus interfacing. It meets the high-performance computation demands required by modern beam-forming fast chirp modulation radar systems by offering unique signal processing acceleration together with powerful multi-core architecture.

The NXP RADAR Toolbox for MATLAB enables editing and simulation of designs for SPT accelerator from MATLAB environment.

Please visit our community - https://community.nxp.com/community/mbdt - for examples and support.

Features:
- Seamless integration with MATLAB environment for easy RADAR application development and simulations for SPT 2.x and SPT3.x
- Includes collaterals providing convenient access to manuals, tool guides, how-to videos and application notes
- Example projects demonstrating NXP RADAR Capabilities
- Includes object detection application

Cite As

NXP Model-Based Design Toolbox Team (2020). NXP_Support_Package_S32R (https://www.mathworks.com/matlabcentral/fileexchange/72232-nxp_support_package_s32r), MATLAB Central File Exchange. Retrieved .

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Updates

1.3.0

- Added support for adaptive scaling in the SPT instructions: RDX2/RDX4/IRDX2/IRDX4;
- Added LSFR feature for the SPT PDMA instruction;
- Update the SPT 2.x/3.x Simulators to latest revisions v3.0.0

MATLAB Release Compatibility
Created with R2019a
Compatible with R2017b to any release
Platform Compatibility
Windows macOS Linux
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