MPSK-MIMO FMCW Radar Ghost Target Filtering via Capon Beamforming
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
MIMO FMCW radar systems face a velocity ambiguity problem, where multiple ghost targets are detected for one target on the velocity axis, reducing the measurable range of velocities.
Innovation Solution
A target detection method using angle estimation based on an MPSK-MIMO FMCW radar, which generates a range-velocity map, applies Capon beamforming for angle estimation, configures phase sequences, and calculates correlation coefficients to distinguish between real and ghost targets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a two-dimensional Fourier transform is applied to estimate target range and velocity using MIMO radar with transmitter code multiplexing, then the radar can detect multiple targets, but multiple ghost targets are detected for one target on the velocity axis, reducing the measurable velocity range
Solution Approach 1:
The patent introduces angle estimation as a third dimension to distinguish between real and ghost targets. By calculating the angle of arrival for detected targets and comparing it with the expected angle based on transmitter-receiver geometry, the system can identify ghost targets (which have incorrect angle combinations) and filter them out, thereby resolving the velocity ambiguity without losing detection capability
Solution Approach 2:
The patent uses angle estimation as an intermediary parameter to resolve the velocity ambiguity. The angle of arrival serves as a mediator that connects the detected target signals with the geometric configuration of the MIMO radar array, allowing the system to distinguish real targets (consistent angle) from ghost targets (inconsistent angle) and eliminate false velocity measurements
2Measurement precision
If the number of channels is increased to increase angular resolution, then the angular resolution improves, but the complexity of signal processing and transmitter code multiplexing increases
Solution Approach 1:
The patent makes the angle estimation process universal by using the same MIMO radar data for both target detection and angle estimation. The range-velocity map and phase information extracted during normal radar operation are reused for angle calculation, eliminating the need for separate processing systems and reducing overall complexity despite having multiple channels
Data Source
AI summary
A target detection method according to the present disclosure includes generating a range-velocity map from a radar signal of an MPSK-MIMO FMCW radar, detecting a plurality of target signals including a real target signal and a ghost target signal for a target with respect to a velocity axis, estimating an angle of arrival of the target by applying a Capon beamforming algorithm to a target detection result, configuring a phase sequence by extracting phase values for the plurality of target signals from the range-velocity map and arranging the phase values in descending order of velocity value, and arranging differently a plurality of prediction phase values derived using the angle of arrival according to a preset rule to obtain a plurality of candidate phase sequences, and calculating a correlation coefficient between the phase sequence and the plurality of candidate phase sequences and identifying a real target signal in the range-velocity map.