Multichannel Receiver Filtering for Interference Rejection Under Jamming
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current multichannel receiver technologies face challenges in efficiently rejecting interference and optimizing signal reception in the presence of flat fading, selective fading, and jamming, particularly due to high computational power requirements and memory storage issues associated with matrix inversion and single-channel equalization techniques.
Innovation Solution
A method involving the computation of a matrix of total noise correlation and amplitude-phase weighting coefficients for multichannel filtering, followed by single-channel equalization, which reduces computational power and memory requirements by pre-computing and storing inverse matrices, and optimizing the spatial filter to maximize signal-to-noise plus interference ratio.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If matrix inversion and single-channel equalization techniques are used to reject interference, then interference rejection performance is improved, but computational power requirements increase
Solution Approach 1:
The patent pre-computes and stores the inverse of the noise correlation matrix during periods when interference is not present or is minimal. This preliminary computation avoids the need for real-time matrix inversion during interference rejection operations, significantly reducing computational power requirements while maintaining effective interference rejection performance when needed.
2Reliability
If matrix inversion techniques are used for multichannel filtering, then signal-to-noise ratio is maximized, but memory storage requirements increase
Solution Approach 1:
The patent extracts and stores only the essential pre-computed matrix inverse data in memory, separating the computationally intensive matrix inversion operation from real-time processing. By storing only the pre-computed inverse matrix and applying it during filtering operations, the system achieves optimal signal-to-noise ratio while minimizing memory storage requirements to only what is necessary for storing the pre-computed values.
3Reliability
If complex multichannel processing is implemented to combat jamming, then interference rejection capability is improved, but device complexity increases
Solution Approach 1:
The patent performs complex multichannel processing operations in advance, pre-computing filter coefficients and matrix inverses during training phases or when interference conditions are favorable. This preliminary processing simplifies real-time jamming combat operations to simple filtering applications, reducing device complexity during critical interference rejection operations while maintaining high interference rejection capability.
Data Source
AI summary
A method for receiving a signal and for rejecting interference in a multichannel receiver, comprises the steps of: reception, transposition and discretization of the signal received on each of the channels of the receiver, so as to obtain a discretized multichannel signal, synchronization of the discretized multichannel signal, computation, on the basis of the discretized and synchronized multichannel signal, of a matrix {circumflex over (R)} of correlation of the total noise, computation, on the basis of the matrix {circumflex over (R)} of correlation of the total noise, of a vector w comprising amplitude phase weighting coefficients of a multichannel filter, and application, to the discretized and synchronized multichannel signal, of a multichannel filtering processing on the basis of the vector w, and then of a single-channel equalization processing to the filtered signal.