Joint Receiver Control for Equalization, Timing, and Gain
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Solution Overview
Problem
Digital communication systems face challenges in jointly controlling equalization, synchronization, and automatic gain control, particularly in harsh environments with high data rates and susceptibility to distortions like inter-symbol interference and additive noise, where existing methods often require training sequences and struggle with initialization and convergence.
Innovation Solution
A central signal processing and logic block is used to jointly control equalization, synchronization, and automatic gain control, employing adaptive techniques such as stochastic gradient descent and decision-directed methods to manage gain compensation and error term selection, enabling robust operation without pilot signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional separate control methods are used for equalization, synchronization, and gain control, then each function can be implemented independently, but the system requires training sequences and struggles with initialization and convergence in harsh environments
Solution Approach 1:
The patent combines separate control loops for equalization, synchronization, and gain control into a single unified control structure. The central signal processing block integrates multiple control functions that traditionally operated independently, allowing joint optimization of initialization and convergence behavior while reducing dependency on training sequences.
Solution Approach 2:
The unified control structure performs multiple functions simultaneously - equalization, carrier synchronization, timing recovery, and gain control - all through a single integrated algorithmic framework. This multi-functional approach eliminates the need for separate training sequences for each function and improves overall system robustness.
2Measurement precision
If training sequences are used for initialization and control, then convergence can be achieved, but system productivity decreases due to bandwidth consumption and transmission time
Solution Approach 1:
The unified control structure is self-initializing and does not require external training sequences. The algorithm uses the received signal itself to initialize and adapt all control parameters simultaneously, making the system self-sufficient and eliminating bandwidth consumption associated with training signal transmission.
Solution Approach 2:
The control structure performs preliminary adaptation and initialization using the received signal before formal data transmission begins. This preliminary action establishes convergence conditions without requiring separate training sequences, thereby improving overall transmission efficiency.
3Productivity
If higher data rates are implemented to meet consumer information demands, then system productivity increases, but susceptibility to environment-induced distortions such as inter-symbol interference and additive noise increases
Solution Approach 1:
The unified control structure continuously monitors signal quality and adapts equalization and synchronization parameters in real-time based on feedback from the received signal. This feedback mechanism compensates for environment-induced distortions and maintains reliable communication at higher data rates where traditional fixed-parameter systems would fail.
Solution Approach 2:
The system employs dynamic adaptation of control parameters rather than fixed settings. The unified algorithm continuously adjusts equalization coefficients, carrier phase, timing offset, and gain levels to match changing channel conditions, enabling robust high-rate transmission through adaptive response to environmental distortions.
Data Source
AI summary
Various aspects and embodiments of the present invention derive statistics of received signal quality and use these statistics to jointly control operation of timing recovery, carrier recovery, automatic gain control, and equalization functions.