Jamming Signal Parameter Estimation via Reference Signal Subtraction
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Solution Overview
Problem
Existing RF communication systems face challenges in effectively detecting and mitigating jamming signals, which interfere with signal of interest, leading to impaired communication quality and efficiency.
Innovation Solution
The system infers coarse parameters of jamming signals by form-fitting a reference signal with an input signal to isolate and identify the jamming signal, determining its symbol rate and center frequency, and subsequently performs mitigation operations to reduce its impact on the signal of interest.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional jamming detection methods are used, then detection capability is limited, but system complexity and processing time increase
Solution Approach 1:
The system performs form-fitting of reference signal to input signal before jamming detection, pre-aligning the signals to facilitate easier identification of jamming components. This preliminary alignment simplifies subsequent detection operations by establishing a known reference framework.
Solution Approach 2:
The system extracts the jamming signal component by subtracting the form-fitted reference signal from the input signal. This extraction isolates the suspected jamming portion, enabling focused analysis and parameter estimation without processing the entire composite signal.
2Measurement precision
If comprehensive signal analysis is performed to accurately identify jamming signals, then detection accuracy improves, but processing time increases
Solution Approach 1:
The system performs partial analysis by focusing only on the suspected jamming portion extracted through form-fitting and subtraction, rather than analyzing the entire input signal. This partial action on the isolated jamming component reduces processing time while maintaining accurate parameter estimation for the critical jamming elements.
Solution Approach 2:
The system segments the composite signal into reference signal component and suspected jamming portion through form-fitting and subtraction. This segmentation allows independent processing of each component, enabling efficient parameter estimation on the smaller jamming portion rather than the full composite signal.
3Difficulty of detecting and measuring
If reference signal subtraction is performed to isolate jamming signals, then jamming signal identification improves, but signal processing complexity increases
Solution Approach 1:
The form-fitted reference signal serves as an intermediary that mediates between the composite input signal and the isolated jamming signal. By using this intermediate representation, the system facilitates the separation process, making the isolation of jamming components more straightforward despite the subtraction operation.
Data Source
AI summary
Improved techniques for estimating parameters of a jamming signal. An input signal is identified. This input signal is suspected of being a jammed composite signal. Attributes of a reference signal are determined. The reference signal is an expected signal that was expected to be received. A form fitting operation is performed in which the reference signal is formed fitted with the input signal. The reference signal is subtracted from the input signal to generate an isolated output signal. A suspected portion of the isolated output signal is identified. An estimated symbol rate and an estimated center frequency for the jamming signal are determined based on the suspected portion. The estimated symbol rate and the estimated center frequency are used to facilitate a subsequent mitigation operation of eliminating or reducing an impact of the jamming signal against the signal of interest.