Radar Signal Processing Velocity Matching Ambiguity Resolution
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Solution Overview
Problem
The precision of velocity matching ambiguity resolution processing in SIMO+MIMO radar detection mechanisms is challenged due to the mismatch in velocity resolution and measurement precision between SIMO and MIMO modes.
Innovation Solution
A signal processing method that includes performing range FFT analysis, linear prediction, and Doppler FFT analysis on echo signals from the SIMO mode to improve velocity resolution and precision, and subsequently performing velocity matching ambiguity resolution processing using the enhanced data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If linear prediction is performed on SIMO mode echo signals, then velocity resolution and measurement precision are improved, but processing complexity increases
Solution Approach 1:
Linear prediction is performed as a preliminary processing step on SIMO mode echo signals before velocity matching ambiguity resolution. By predicting and extending the signal sequence in advance, the method improves velocity resolution and measurement precision without requiring additional hardware complexity during the main detection process
Solution Approach 2:
Linear prediction acts as an intermediary processing technique that bridges the gap between SIMO and MIMO mode measurements. It processes the limited SIMO signals to enhance their quality, making them more suitable for velocity matching ambiguity resolution with MIMO mode data
2Speed
If velocity matching ambiguity resolution is performed using SIMO+MIMO mode, then target velocity detection range is improved, but precision is reduced due to mismatch in velocity resolution between modes
Solution Approach 1:
The method changes the parameters of SIMO mode signals through linear prediction processing. By applying linear prediction, the effective signal length and quality are improved, which adjusts the velocity resolution parameter to better match the MIMO mode parameters, thereby improving matching precision
Solution Approach 2:
Linear prediction extends the time domain dimension of the SIMO signals by predicting future or past signal values. This dimensional extension effectively increases the amount of usable data from SIMO mode, improving velocity measurement precision without requiring additional physical measurements
Data Source
AI summary
This disclosure provides a signal processing method and apparatus. The method includes: obtaining Nr1×M1 signals, where the Nr1×M1 signals are echo signals of M1 signals that are sent by a radar to a target in a SIMO mode; obtaining Nt×Nr2×M2 signals, where the Nt×Nr2×M2 signals are echo signals of M2 signals that are sent by the radar to the target in a MIMO mode; performing first signal processing on the Nr1×M1 signals to obtain first processing data, where the first signal processing includes sequentially performing range FFT analysis, linear prediction, and Doppler FFT analysis; performing second signal processing on the Nt×Nr2×M2 signals to obtain second processing data, where the second signal processing includes range FFT analysis and Doppler FFT analysis; and performing velocity matching ambiguity resolution processing based on the first processing data and the second processing data.