Interfering Signal Estimation for Adaptive Broadcast Cancellation
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Solution Overview
Problem
Existing digital broadcasting systems face challenges in accurately estimating and mitigating interfering signals, particularly in systems using DAB, DAB+, DVBT, or ISDBT standards, as they often result in signal degradation due to varying interfering frequencies and amplitudes.
Innovation Solution
A method that estimates the frequency and amplitude of interfering signals by utilizing the frequency from the previous encoding block, adjusting frequencies by small increments, and applying a forgetting factor to improve precision, while generating a counter sinusoidal signal to attenuate the interference without degrading the data signal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional interfering signal estimation methods are used in digital broadcasting systems, then the system can operate with standard processing, but the signal quality degrades due to inaccurate frequency estimation and inability to track varying interfering frequencies
Solution Approach 1:
The patent applies preliminary action by using the frequency estimate from the previous encoding block (n-1) to initialize and guide the frequency estimation for the current block (n). The algorithm sets up initial frequency hypotheses based on prior knowledge, then refines these estimates using the current block data. This preliminary positioning of the estimation process significantly improves accuracy compared to starting from scratch, directly resolving the contradiction between measurement precision and signal quality.
2Adaptability or versatility
If the interfering signal frequency varies over time (e.g., due to electronic chip heating), then standard fixed-frequency estimation fails, but the patent's adaptive method tracks these variations by utilizing temporal correlation between blocks
Solution Approach 1:
The patent implements feedback by continuously using the estimated frequency from block n-1 as input for the estimation process in block n. This creates a closed-loop system where the estimator adapts to frequency drift over time. The algorithm feeds back the temporal correlation information, allowing it to track varying interfering frequencies while maintaining precision through iterative refinement based on previous estimates.
3Measurement precision
If complex estimation algorithms are used to improve precision, then frequency estimation accuracy improves, but computing power requirements increase significantly
Solution Approach 1:
The patent applies partial action by focusing the estimation effort only on the most probable frequency regions identified from previous blocks, rather than performing exhaustive search across the entire frequency spectrum. This selective approach achieves high precision by concentrating computational resources where they are most needed, significantly reducing overall computing power consumption while maintaining accurate frequency estimation.
4Measurement precision
If the interfering signal is much stronger than the data signal, then detection of the interfering frequency becomes easier, but conventional methods cause significant degradation of the data signal
Solution Approach 1:
The patent extracts the interfering signal component from the composite received signal by identifying and isolating its frequency characteristics using the estimation algorithm. Once the interfering signal is extracted and characterized, it can be separately processed or cancelled without affecting the underlying data signal. This separation resolves the contradiction by enabling precise detection of strong interferers while protecting the data signal from degradation through selective processing.
Data Source
AI summary
The present disclosure relates to a method for estimation of an interfering signal of a signal received by a receiving system and to a method for attenuation of an interfering signal contained in a received signal, and a receiving system.