MIMO Radar Orthogonal LFM for 360-Degree Coverage
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Solution Overview
Problem
Traditional vehicular radar systems have limited precision and field of view due to single-directional beams, leading to reduced ability to detect obstacles beyond the forward direction, and face interference from multiple radar units and radio noise.
Innovation Solution
The implementation of orthogonal linear frequency modulation for multiple-input multiple-output (MIMO) radar systems using binary phase shift keying (BPSK) encoding, which enables multiple radar units to operate in a steerable mode, creating a virtual spatial channel and improving interference rejection by using frequency diversity and despread operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If traditional single-directional beams are used in vehicular radar systems, then the system structure remains simple, but the field of view is limited and detection precision is reduced
Solution Approach 1:
The radar system divides the field of view into multiple sectors, with each sector covered by a dedicated beam. Multiple beams are generated simultaneously by different antenna elements, allowing the system to cover 360 degrees without mechanical movement. This segmentation of the spatial field enables comprehensive coverage while maintaining a fixed, simple system structure.
Solution Approach 2:
Multiple antenna elements are combined into a phased array configuration, where the signals from individual elements are coherently processed to form multiple simultaneous beams. By merging the capabilities of multiple antennas and combining their outputs through signal processing, the system achieves wide field of view coverage without adding mechanical complexity.
2Measurement precision
If multiple radar units operate simultaneously, then the field of view and detection capability are improved, but interference from multiple units and radio noise increases
Solution Approach 1:
The system employs coherent signal processing that uses the known transmitted waveform as a reference to correlate with received signals. This feedback mechanism allows the radar to distinguish between desired reflections and interfering signals from other radar units or noise sources, significantly improving detection precision in multi-radar environments.
Solution Approach 2:
Each radar unit uses a unique linear frequency modulation (LFM) waveform with distinct parameters such as chirp rate, frequency sweep range, or time offset. By changing the waveform parameters of transmitted signals, the system enables multiple radar units to operate simultaneously without mutual interference, as each unit's signal can be uniquely identified and processed.
3Measurement precision
If directional antennas are used to focus energy, then the beam precision is improved, but the system cannot achieve 360-degree coverage without mechanical steering
Solution Approach 1:
The system uses electronic beam steering through phased array technology, where the phase and amplitude of signals fed to each antenna element are dynamically adjusted to steer beams in different directions without mechanical movement. This dynamic control of electromagnetic fields enables precise beam formation and rapid switching between directions, achieving both beam precision and 360-degree coverage capability.
Solution Approach 2:
Instead of achieving coverage through mechanical rotation in one dimension, the system uses multiple antenna elements arranged in a two-dimensional array, creating beams in multiple directions simultaneously through spatial diversity. By transitioning from single-direction mechanical scanning to multi-directional electronic beamforming, the system achieves comprehensive coverage while maintaining high beam precision.
Data Source
AI summary
Disclosed herein are embodiments that relate to phase coded linear frequency modulation for a radar system. Embodiments include transmitting at least one signal pulse with a binary phase shift keying (BPSK) encoding. The method also includes receiving a signal associated with reflection of the at least one transmitted signal pulse. The received signal may include at least two channels. Further, the method may also include processing the received signal to determine target information. The processing may include performing a despread operation that provides a phase offset based on a filtering range. Additionally, the processing may include performing a reconstruction operation that comprises creating a virtual spatial channel based on combining the two received channels. Yet further, the processing may include determining the target information based on the virtual spatial channel. An autonomous vehicle may be controlled based on the determined target information.