ASDSP Channel Equalization for High-Speed SerDes BER Control
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Solution Overview
Problem
High-speed data transfer systems, such as SerDes, face challenges in channel equalization as transmission speeds increase, with channel losses becoming harder to equalize due to noise and interference, especially over long distances, requiring a novel means to maintain low bit-error-rate (BER) performance.
Innovation Solution
The implementation of an application-specific digital signal processor (ASDSP) for channel equalization and compensation, which includes an ASDSP register for storing equalization parameters and bit error rate measurements, and an ASDSP program storage memory for executing specific operation codes, allowing for selection and execution of various equalizer and clock and data recovery algorithms based on system constraints and optimization criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If transmission speed is increased to achieve high-speed data transfer, then productivity is improved, but channel losses and noise increase making equalization more difficult
Solution Approach 1:
The patent replaces traditional analogue equalization circuits with a digital signal processor that performs equalization through digital signal processing. This substitution enables more precise and adaptable equalization algorithms to be applied, effectively compensating for channel losses and noise even at high transmission speeds, thus resolving the contradiction between speed and equalization quality.
Solution Approach 2:
The patent implements dynamic equalization parameters that can be adjusted in real-time based on channel conditions. The digital signal processor adapts equalization settings dynamically to optimize performance under varying transmission conditions, maintaining reliable equalization quality across different data transfer speeds and channel characteristics.
2Length of stationary object
If transmission channel length is increased to extend communication distance, then area coverage is improved, but channel losses increase making equalization more difficult
Solution Approach 1:
The patent employs digital signal processing techniques that can accurately model and compensate for frequency-dependent channel losses over long distances. The digital equalizer applies inverse filtering and other advanced algorithms that effectively reverse the effects of long-channel attenuation, maintaining signal integrity despite increased transmission distance.
3Reliability
If application specific digital signal processor is used for channel equalization, then equalization performance is improved, but device complexity increases
Solution Approach 1:
The patent divides the equalization task into discrete processing stages within the digital signal processor, with each stage handling specific aspects of signal restoration. This segmentation allows for optimized implementation of complex equalization algorithms while maintaining manageable system architecture and facilitating parallel processing to reduce overall complexity.
Solution Approach 2:
The patent designs a universal digital signal processor architecture that can perform multiple functions including equalization, noise filtering, and signal reconstruction using the same hardware resources. This multi-functionality reduces overall device complexity by avoiding duplicate specialized circuits for each processing task.
Data Source
AI summary
A method and circuit for performing channel equalisation in a high speed transmission system comprising a transmitter and receiver. An application specific digital signal processor, ASDSP, performs channel equalisation and compensation on digital data received from an analogue-to digital converter of the receiver. The ASDSP is operable to execute an application specific set of op-codes needed for performing channel equalisation and compensation. An ASDSP register is coupled between the ASDSP and a system CPU in a feedback loop for performing channel equalisation at the receiver. The ASDSP stores equalizer parameters and bit error rate measurements used by the ASDSP for performing channel equalisation and compensation. An ASDSP program storage memory, coupled to and accessible by the ASDSP, stores an ASDSP micro-sequence program for controlling the processing steps for channel equalisation and dataflow through the ASDSP.