Radar Receiver Jammer Noise Minimization via Signal Correlation
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Solution Overview
Problem
Conventional methods for minimizing jammer noise in RADAR systems reduce the desired signal strength and are computationally intensive, as they subtract noise from auxiliary channels, including thermal noise, leading to inaccurate target object determination.
Innovation Solution
A process using a primary receiver and secondary receivers to correlate signals, where only signals with a power correlation above a threshold are used to minimize jammer noise, with weighting factors calculated using a sequential decorrelation algorithm to selectively subtract noise, ensuring the desired signal is preserved.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If conventional methods subtract noise from all auxiliary channels including thermal noise, then jammer noise is reduced, but the desired signal strength is also reduced
Solution Approach 1:
The patent changes the parameter of noise identification by introducing a correlation threshold. Instead of treating all auxiliary channel signals as noise, the system calculates the correlation between main channel and auxiliary channel signals, and only identifies signals with correlation below the threshold as noise. This parameter change allows differentiation between jammer noise (low correlation) and desired signal (high correlation), enabling selective noise removal without compromising desired signal strength.
2Object-affected harmful factors
If conventional methods process all auxiliary channels to remove noise, then noise reduction is achieved, but computational complexity increases
Solution Approach 1:
The patent applies partial action by processing only those auxiliary channels that meet the correlation threshold criterion. Instead of uniformly processing all auxiliary channels, the system selectively applies noise removal operations only to channels where the correlation with the main channel falls below the threshold, indicating genuine noise rather than desired signal. This partial processing approach reduces computational complexity while maintaining effective noise reduction.
3Object-affected harmful factors
If conventional methods use all auxiliary signals for noise minimization, then noise reduction is maximized, but measurement precision of target object decreases
Solution Approach 1:
The patent applies local quality by treating different auxiliary channels differently based on their individual correlation characteristics with the main channel. Each auxiliary channel is evaluated independently, and the correlation threshold is applied locally to each channel-signal pair. This allows the system to identify and remove noise from specific channels while preserving desired signals in other channels, thereby maintaining measurement precision for target object determination.
Data Source
AI summary
A process is disclosed for minimising jammer noise in receiver systems. The process comprises the use of a primary receiver (10) and a plurality of secondary receivers (11) for receiving signals. The process comprises the steps of:—separately correlating the signal received at each of the plurality of 5 secondary receivers with the signal received at the primary receiver;—determining the magnitude of the correlation between signals received at each of the plurality of secondary receivers with the signal received at the primary receiver; and,—minimising the signal received at the primary receiver using those signals received at the secondary receivers for which the magnitude of the correlation with the signal received at the primary receiver is above a threshold value.