UWB Training Sequence for Receiver Complexity Reduction
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Solution Overview
Problem
Current pulse-coded ultra-wideband communication systems face challenges in achieving high bit rates due to complex and costly architectures, particularly in receivers, which are further compromised by intersymbol interference and latency issues in channel parameter estimation.
Innovation Solution
A method using a training sequence with two parts is introduced, where the first part consists of high-energy pulses easily detectable by the receiver and the second part resembles payload information to facilitate channel parameter estimation with reduced complexity and latency, enabling effective processing and synchronization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a probabilistic equalizer is used to compensate for intersymbol interference, then the reliability of high bit rate communication is improved, but the device complexity increases due to the need for channel parameter estimation
Solution Approach 1:
The patent applies preliminary action by transmitting channel parameter information before the actual data transmission. The channel parameters are estimated and communicated to the receiver in advance, allowing the probabilistic equalizer to be properly configured without requiring complex real-time estimation during data transmission.
Solution Approach 2:
The patent introduces an intermediary approach by using a separate channel parameter estimation phase that mediates between the transmission channel and the data transmission phase. This intermediary step provides the necessary information to simplify the receiver architecture during actual communication.
2Measurement precision
If the EM algorithm is used for channel parameter estimation, then the measurement precision is improved, but the loss of time increases due to iterative computations
Solution Approach 1:
The patent applies preliminary action by performing channel parameter estimation before data transmission begins. This allows the EM algorithm to run without causing latency during actual communication, as all iterative computations are completed in advance during the parameter estimation phase.
Solution Approach 2:
The patent segments the communication process into distinct phases: a channel parameter estimation phase where the EM algorithm operates, and a data transmission phase where the pre-estimated parameters are used. This segmentation isolates the computationally intensive operations from the time-critical data transmission.
3Ease of manufacture
If simple energy-detecting receivers are used, then the ease of manufacture is improved, but the productivity decreases as they are not suitable for high bit rates
Solution Approach 1:
The patent applies preliminary action by providing channel parameter information to simple energy-detecting receivers before data transmission. This allows these simple receivers to achieve high bit rate performance by using the pre-estimated parameters to compensate for intersymbol interference, maintaining manufacturing simplicity while improving productivity.
Solution Approach 2:
The patent enables simple energy-detecting receivers to serve themselves by providing them with channel parameter information. These receivers do not need complex built-in estimation mechanisms; instead, they use the externally provided parameters to achieve high-performance operation.
Data Source
AI summary
A method and apparatus are provided for sending pulses from a sender device to a receiver device in a transmission channel. The pulses represent information symbols, with each of these pulses being associated with a time slot in a symbol time. The method includes a training step that is carried out before sending payload information and that includes sending a training sequence made up of two parts. A first part of the training sequence includes at least one pulse of energy that is greater than the energy of a pulse carrying payload information. There are a large number of time slots between the sending of the pulse and the sending of the next pulse. A second part of the training sequence includes a set of pulses known in advance and similar to the pulses used for carrying payload information, the energy of each of these pulses being equivalent to the energy of a pulse carrying payload information.