Multi-Node Radar Velocity Estimation via Intersection Points
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Solution Overview
Problem
Multi-node radar systems face challenges in accurately determining the velocity of multiple objects at similar ranges due to differing angles of arrival of reflections at each node, making it difficult to associate reflections and estimate object velocities.
Innovation Solution
The method involves generating velocity lines from radial velocities and angles of arrival at each node, determining intersection points of these lines, and using a neural network trained through supervised learning to estimate object velocities, with the neural network receiving feedback from actual and simulated data to improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple nodes are used to expand field of view, then more information about surroundings is obtained, but velocity determination becomes challenging due to different angles of arrival
Solution Approach 1:
The patent introduces velocity lines as an intermediary geometric construct that mediates between the radial velocity measurements from multiple nodes and the final velocity determination. Each node generates a velocity line based on its measured radial velocity and angle of arrival, and the intersection of these lines provides the solution. This intermediary approach transforms the complex multi-node velocity determination problem into a geometric intersection problem that can be solved systematically.
2Quantity of substance
If reflections from multiple objects at similar ranges are received, then more objects are detected, but associating reflections from the same object becomes difficult
Solution Approach 1:
The patent segments the velocity information from each node into distinct velocity lines, where each line represents a unique geometric constraint. By segmenting the problem into individual velocity lines from each node, the system can systematically process and intersect these lines to identify distinct objects. This segmentation approach allows the system to handle multiple objects by treating each object's velocity information as a separate set of lines to be intersected.
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
This approach effectively discriminates among multiple objects and estimates their velocities by identifying intersection points corresponding to relative velocity vectors, enhancing the radar system's ability to parse information from overlapping angles and Doppler frequencies.
Implementation Method 1
reflected signals resulting from reflection of transmitted signals by one or more objects
Implementation Method 2
radial velocity Vr determined from the reflected signal
Data Source
AI summary
A system and method using a multi-node radar system involve receiving reflected signals at each node of the multi-node radar system, the reflected signals resulting from reflection of transmitted signals by one or more objects, and generating velocity lines associated with each of the reflected signals received at each of the nodes, each velocity line being derived from a radial velocity Vr and an angle of arrival θ determined from the reflected signal received at the node. The method also includes determining one or more intersection points of the velocity lines, and estimating a velocity of each of the one or more objects based on the one or more intersection points. Each intersection point corresponds with the velocity for one of the one or more objects and the velocity is a relative velocity vector between the one of the one or more objects and the radar system.