Interference Power Estimation for Automatic Gain Control
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Solution Overview
Problem
Current communication systems fail to accurately estimate interference and carrier powers at the antenna due to signal filtering, leading to incorrect automatic gain control settings and signal-to-interference-and-noise-ratio (SINR) computations, which affects receiver performance and data transmission quality.
Innovation Solution
A method and system for estimating interference and carrier powers at the antenna by detecting interference types and using scaling factors to interpolate in-band interference and carrier powers, allowing for accurate determination of total power and SINR, and selecting appropriate RF filters and equalizers based on interference types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If low-pass filtering is applied to remove interference signals before baseband processing, then signal quality is improved, but interference power estimation accuracy deteriorates
Solution Approach 1:
The patent applies low-pass filtering in advance before baseband processing to remove out-of-band interference signals, preventing them from degrading signal quality. This preliminary action ensures clean signal processing while the interference estimation algorithm compensates for the filtered components to maintain accurate power estimation.
Solution Approach 2:
The patent introduces an interference estimation algorithm as an intermediary that bridges the gap between filtered and unfiltered interference power. The algorithm uses scaling factors and interference type detection to estimate the power of interference signals that were removed by filtering, allowing accurate total interference power calculation without compromising signal quality.
2Measurement precision
If interference type detection and scaling factor interpolation are implemented, then interference power estimation accuracy is improved, but device complexity increases
Solution Approach 1:
The patent segments interference estimation into distinct interference types (co-channel interference, adjacent channel interference, and other interference). By detecting the interference type and applying specific scaling factors for each type, the system achieves accurate estimation without requiring complex universal models, thus balancing precision with manageable complexity.
Solution Approach 2:
The patent changes parameters (scaling factors) based on detected interference types. Different scaling factors are applied for co-channel, adjacent channel, and other interference scenarios. This parameter adaptation allows accurate interference power estimation across diverse conditions while maintaining a relatively simple processing structure through lookup tables and conditional logic.
Data Source
AI summary
A system and method are provided for estimating interference power at a receiver antenna in a communications systems receiver, in which an interference type signal associated with a received radio signal is detected, an in-band interference power associated with the received radio signal is determined, and an interference power at the antenna is estimated using the determined in-band interference power and the detected interference type. Estimating the interference power at the antenna includes interpolating the determined in-band interference power using scaling factors determined by the interference type signal associated with the received radio signal. The system and method determine in-band carrier power associated with the radio signal based on a channel estimate h(k), and the in-band interference information is based on interference samples I(n). In addition, an average total power, automatic gain control (AGC) setting, and signal-to-information-and-noise ratio can be determined by the system and method.