Multi-Chip MIMO Radar Data Fusion for Range and Angular Resolution
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Solution Overview
Problem
Existing radar systems face limitations in detection range and angular resolution, particularly in MIMO systems, due to the constraints of transmitter and receiver configurations.
Innovation Solution
Implementing a multi-chip radar system with a centralized processing unit, where each radar chip is connected to its own plurality of transmitters and receivers, allowing for improved detection range and angular resolution through data combination and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple transmitters and receivers are used to improve angular resolution and detection range, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The radar system is divided into multiple independent radar chips, each capable of functioning as a complete transmitter-receiver unit. Each chip processes radar signals independently and generates virtual receiver data, allowing the system to achieve high angular resolution through multiple distributed transmitters and receivers while maintaining manageable complexity at the chip level.
Solution Approach 2:
The system creates virtual receiver locations through the combination of multiple physical transmitters and receivers, effectively adding a dimensional layer to the antenna array. This virtual array approach enables improved angular resolution without proportionally increasing the physical complexity of the transmitter-receiver configuration.
2Measurement precision
If multiple radar chips are used to improve detection range and angular resolution, then measurement precision is improved, but device complexity increases
Solution Approach 1:
Multiple radar chips are merged into a coordinated system where each chip contributes to the overall detection capability. The central processing unit combines data from all chips to achieve extended detection range and improved angular resolution, while each individual chip maintains a standardized, manageable design.
Solution Approach 2:
Each radar chip is designed as a universal unit that can function independently or in combination with other chips. The chips perform multiple functions including signal transmission, reception, and virtual receiver data generation, allowing the system to scale detection range by adding chips without proportionally increasing overall system complexity.
3Measurement precision
If virtual receiver data from all transmitters is used to improve angular resolution, then measurement precision is improved, but loss of information increases due to data volume
Solution Approach 1:
Each radar chip extracts and processes only the virtual receiver data relevant to its assigned transmitters, separating the overall data processing into manageable portions. This extraction approach reduces the data volume that each chip must handle while still contributing to the comprehensive angular resolution of the complete system.
Solution Approach 2:
Each radar chip processes a subset of the total virtual receiver data rather than all data from all transmitters. This partial processing approach distributes the computational load across multiple chips, reducing the information loss and processing bottleneck that would occur if a single unit handled all data.
Data Source
AI summary
A multi-chip MIMO radar system includes respective pluralities of transmitters and receivers arranged on a plurality of circuit chips. The multi-chip MIMO radar system includes a processor that receives data from the plurality of circuit chips. Selected ones of the plurality of circuit chips generate sets of selected range, Doppler, and virtual receiver data. The processor processes the sets of selected range, Doppler, and virtual receiver data to produce selected range detection and angular resolvability of targets.