MIMO Angular Resolution via Real-Number Matrix Conversion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional MIMO system algorithms face challenges in accurately and rapidly identifying target objects due to the complexity and time required for calculating real and imaginary parts of input signal matrices and pursuit matrices, which hampers detection efficiency in automotive radar systems.
Innovation Solution
A high angular resolution processing method for MIMO systems that converts input signal and pursuit matrices into real number matrices using a conversion matrix, allowing for one-dimensional calculations within an orthogonal matching pursuit model to accelerate target object identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional algorithms calculate real and imaginary parts of input signal matrix and pursuit matrix separately, then calculation accuracy is maintained, but calculation complexity and time increase significantly
Solution Approach 1:
The patent combines the separate calculations of real and imaginary parts into a unified real-number-only calculation framework. By using a conversion matrix to transform the complex number operations into equivalent real number operations, the system merges two separate calculation paths into one, reducing computational complexity while maintaining detection accuracy.
Solution Approach 2:
The patent changes the numerical parameter representation from complex numbers to real numbers only. By introducing a conversion matrix that maps complex signal representations to real number equivalents, the system transforms the mathematical domain of calculation, eliminating the need to handle imaginary components separately and thereby reducing computational burden.
2Reliability
If conventional algorithms process complex number matrices, then accurate signal representation is achieved, but calculation time increases and detection efficiency decreases
Solution Approach 1:
The patent substitutes the mechanical operation of complex number arithmetic with an equivalent real number arithmetic system. By using a conversion matrix to represent complex signals in real number space, the system replaces computationally intensive complex number operations with simpler real number operations, maintaining signal fidelity while improving processing speed and detection efficiency.
3Speed
If vehicle radar system performs rapid target detection, then collision prevention is enabled, but calculation time must be minimized
Solution Approach 1:
The patent changes the computational parameter from complex numbers to real numbers through a conversion matrix transformation. This parameter change reduces the arithmetic complexity of each calculation step, enabling faster processing speeds that meet the real-time detection requirements of vehicle radar systems while minimizing calculation time for collision prevention applications.
Solution Approach 2:
The patent segments the complex number calculation into a two-stage process: first transforming complex signals to real number representations using a conversion matrix, then performing simplified real number arithmetic. This segmentation separates the transformation step from the detection calculation, allowing optimized real number operations that reduce overall calculation time while maintaining detection accuracy.
Data Source
AI summary
A high angular resolution processing method for MIMO system applies a symmetric array antenna for receiving an input signal matrix. The input signal matrix is a transmission signal or reflex signal of at least one target object. The method includes following steps. Step S1: outputting a conversion matrix according to an amount of the symmetric array antenna; step S2: performing a real number conversion using the input signal matrix and a plurality of angle-related pursuit matrixes through the conversion matrix, obtaining a real number input signal matrix and real number pursuit matrixes; and step S3: inputting the real number input signal matrix and the real number pursuit matrixes to an orthogonal matching pursuit model. Obtaining an amount of the target object and an angle of a location corresponding to the target object.