Radar Target Detection via Directional Waveform Weighting
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Multi-frequency CW radar systems face difficulties in accurately determining the distance to multiple targets with the same relative speed due to overlapping frequency components in the beat signal, making it challenging to separate and calculate the phase for each target.
Innovation Solution
A target detection device with an analysis section for frequency analysis, a direction estimating section for arrival direction estimation, and a distance calculating section that forms weighted received waveforms to enhance directivity, allowing for accurate distance calculation by isolating the phase component corresponding to the target in the direction of the antenna's directivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frequency analysis is performed on beat signals from multi-frequency CW radar, then relative speed of targets can be detected, but distance measurement precision deteriorates when multiple targets have the same relative speed
Solution Approach 1:
The patent segments the received signal processing by introducing arrival direction estimation to divide targets into different spatial groups. By estimating the arrival direction of beat signals and processing each direction separately, the system can distinguish between multiple targets with the same relative speed but different positions, thereby recovering lost phase information for distance measurement.
Solution Approach 2:
The patent introduces arrival direction estimation as an intermediary process between frequency analysis and distance calculation. This intermediary step extracts spatial information from the beat signals, enabling the system to separate phase components corresponding to different targets before performing distance measurement, thus resolving the information loss problem.
2Measurement precision
If phase analysis is performed on beat signals to calculate target distance, then distance information can be obtained, but accuracy deteriorates when multiple targets with the same relative speed are present
Solution Approach 1:
The patent segments the signal processing workflow into distinct stages: frequency analysis for speed detection, arrival direction estimation for spatial separation, and phase analysis for distance measurement. This segmentation allows the system to handle multiple targets with the same relative speed by processing each directional group separately, improving distance accuracy without overwhelming complexity.
Solution Approach 2:
The patent performs arrival direction estimation as a preliminary action before phase analysis. By pre-separating targets based on their arrival directions, the system prepares the signal data in a state that enables accurate phase-based distance measurement, even when multiple targets share the same relative speed, thus avoiding the need for complex post-processing.
3Measurement precision
If conventional multi-frequency CW radar is used for target detection, then relative speed can be detected, but the ability to distinguish between multiple targets at the same speed is insufficient
Solution Approach 1:
The patent transitions from one-dimensional frequency analysis (detecting only relative speed) to two-dimensional analysis by incorporating arrival direction estimation. This dimensional expansion adds spatial information to the detection process, enabling the system to distinguish between multiple targets with the same relative speed based on their different arrival directions, thereby improving target discrimination precision.
Solution Approach 2:
The patent introduces arrival direction estimation as an intermediary mechanism that bridges frequency analysis and phase analysis. This intermediary extracts spatial characteristics from the beat signals, making it possible to separate phase information for different targets before distance calculation, thus enhancing the system's phase separation capability.
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
Enables high-accuracy distance calculation to each target even when multiple targets have the same relative speed, by forming received waveforms that reduce interference from other targets, thereby isolating the phase component corresponding to the target in the antenna's directivity.
Implementation Method 1
a frequency corresponding to a relative speed of the target that reflected the transmitted waves
Implementation Method 2
a phase corresponding to a distance to the target
Data Source
AI summary
A target detection device includes an analysis section, a direction estimating section, a received waveform forming section, and a distance calculating section. The received waveform forming section forms a received waveform for each of the frequencies of the continuous waves by weighting beat signals corresponding to received waves received by each of receiving antennas, so as to have directivity in one of arrival directions estimated by the direction estimating section.