TDM-MIMO Radar DoA Estimation With Iterative Speed Compensation
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Solution Overview
Problem
Radar systems face errors in estimating the angle of an object due to phase differences caused by the movement of the object, leading to inaccurate calculations.
Innovation Solution
A method for estimating direction of arrival (DoA) in a radar system using a time-division multiplexing multi-input multi-output (TDM MIMO) radar system, which involves calculating relative speed iteratively until stabilization, compensating for horizontal and vertical phase differences using the relative speed, and eliminating speed interference to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If phase differences are used to calculate angle of arrival, then angle estimation can be performed, but movement of the object causes phase changes that result in angle estimation errors
Solution Approach 1:
The patent applies preliminary action by calculating the relative speed between the radar system and the object before performing angle estimation. The processor first determines relative speed based on phase differences between signals received at different times, then uses this pre-calculated speed to compensate for phase changes caused by object movement during the angle calculation process, thereby improving both accuracy and reliability
Solution Approach 2:
The patent changes the parameter of phase difference by introducing speed compensation. The processor calculates a compensated phase difference that accounts for object movement by using the relative speed parameter. This transformed phase difference parameter eliminates the harmful effects of object motion, allowing accurate angle estimation even when the object is moving
2Measurement precision
If iterative calculation of relative speed is performed until stabilization, then speed interference is eliminated, but calculation time increases
Solution Approach 1:
The patent applies feedback by implementing an iterative calculation process where the processor continuously calculates relative speed based on phase differences and uses this speed to update the phase difference compensation. The iteration continues until the calculated angle of arrival stabilizes within a predetermined threshold, creating a feedback loop that automatically terminates when sufficient accuracy is achieved, balancing precision with time efficiency
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The method achieves more accurate angle estimation by compensating for phase differences caused by object movement, resulting in improved DoA calculations.
Implementation Method 1
Radar detection technology is widely used to estimate, for an object in front of a radar system, the distance and angle of the object in relation to the radar system
Implementation Method 2
When the object moves, phase differences of signals received by receiving antennas of the radar system change, resulting in errors in the calculated angle
Data Source
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AI summary
A method of estimating a direction of arrival (DoA) for a radar system (2) includes: for each time slot, one transmitting antenna (3) emitting a transmitted signal, one receiving antenna (4) receiving a reflected signal, a processing unit (5) obtaining an estimated distance based on a duration between signal emission and signal reception, and obtaining a relative speed based on the estimated distance and a prior estimated distanc; in response to performing the above steps at least twice, the processing unit (5) determining whether a stop condition is met; when the stop condition is met, the processing unit (5) setting the relative speed that was most recently obtained as an iterative relative speed and obtaining a compensation phase value based on the iterative relative speed; and the processing unit (5) obtaining the DoA based on the compensation phase value and a distance between two adjacent virtual antennas.