MIMO Radar Co-processor Engine

Overview

This is a configurable and programmable highly efficient Radar Co-processor engine for high resolution MIMO Radar systems.

It includes a main signal processing engine that sequentially calculates Range, Doppler, Azimuth and Elevation Fourier transforms on multiple ADC channels and detects potential objects for further processing. The small set of retained detections are post processed by associating to tracks and smoothing with a Kalman Filter.

Filtered data associated with each detected object can be made available for processing by an external ML processor

It is ported to both ASIC and FPGA technology and achieving a very high clock speed with minimal logic and memory.

Key Features

Provides all processing steps from ADC to object list and point cloud
Can process multiple antenna systems with 100s of virtual antennas
Uses advanced processing methods such as super resolution - MUSIC, Capon, MinNorm
Real time extraction and tracking supporting many hundred of plots
Low-latency – track updates in 10s of milliseconds
Combined LRR and SRR object tracking
Raw object associated with each detected object is available for external AI based processing
The processing steps are summarised as follows.

Range processing
Doppler processing
Azimuth processing
Elevation processing
Kinematics
Measurement to track association
Kalman Update

Benefits

Low latency, low power and compact
Gives ECU headroom for track-to-object recognition and make safety decisions
EnSilica’s Radar and ASIC experts can provide integration support for FPGA platforms or design and supply custom ASICs

Block Diagram

Applications

Advanced automotive Radar systems
4D Radar
LiDAR and Radar point cloud generation
Low-cost corner Radar
Security and roadside Radar systems

Deliverables

RTL
Testbench
Synthesis scripts
Documentation
MATLAB and C++ bit exact model
GUI for configuring and visualising the data
CUDA accelerated bit exact model

Technical Specifications

Availability

Available Now

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