Iterative 2D Equalizer for OTFS Signal Recovery
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Solution Overview
Problem
Current wireless communication networks face bandwidth shortages and quality of service challenges due to the rapid growth in wireless data traffic, necessitating the development of next-generation wireless technologies that can efficiently handle high data demands.
Innovation Solution
The implementation of an iterative two-dimensional channel equalizer that transforms input time-frequency domain symbols and channel estimates into the delay-Doppler domain, using a symplectic Fourier transform to generate symbol estimates and data bit estimates, enabling effective recovery of information bits from received signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If iterative two-dimensional equalization is implemented to improve data recovery accuracy, then information bit recovery is enhanced, but computational complexity and processing time increase
Solution Approach 1:
The patent implements iterative equalization where channel estimates and symbol estimates are fed back through multiple iterations to progressively refine the data recovery. The feedback mechanism allows the equalizer to use updated channel information and symbol estimates from previous iterations to improve accuracy in subsequent iterations, directly addressing the contradiction by trading computational complexity for enhanced recovery accuracy.
Solution Approach 2:
The patent transforms the equalization process from the time-frequency domain to the delay-Doppler domain using symplectic Fourier transforms. This dimensional transformation enables two-dimensional equalization that can simultaneously compensate for delay and Doppler effects, improving information bit recovery accuracy while managing computational complexity through efficient domain transformation.
2Measurement precision
If iterative two-dimensional equalization is implemented to improve data recovery accuracy, then information bit recovery is enhanced, but processing time increases
Solution Approach 1:
The iterative feedback mechanism processes channel estimates and symbol estimates through multiple iterations to progressively refine data recovery accuracy. Each iteration uses feedback from previous results to improve the next estimation, thereby enhancing accuracy while the processing time is managed through efficient iterative algorithms that converge to optimal solutions.
Solution Approach 2:
The patent performs preliminary transformations and estimations before the main equalization process. By preparing channel estimates and symbol estimates in advance and using them in subsequent iterations, the system reduces the computational burden during each iteration, thereby managing processing time while maintaining high accuracy through the iterative refinement process.
3Reliability
If symplectic Fourier transform is used to transform time-frequency domain to delay-Doppler domain, then equalization effectiveness is improved, but computational requirements increase
Solution Approach 1:
The patent employs symplectic Fourier transforms to transform the time-frequency domain representation to the delay-Doppler domain. This dimensional transformation enables the equalizer to effectively handle multipath and Doppler effects by operating in the delay-Doppler domain, improving equalization effectiveness while the computational energy consumption is managed through efficient transform algorithms.
Solution Approach 2:
The patent changes the domain parameters from time-frequency to delay-Doppler through symplectic Fourier transforms. This parameter transformation allows the equalizer to work with different representations of the channel characteristics, improving effectiveness in modeling complex channel effects while managing computational requirements through optimized transform implementations.
Data Source
AI summary
An iterative two dimension equalizer usable in a receiver of orthogonal time frequency space (OTFS) modulated signals is described. In one configuration of the equalizer, a forward path generates, from received time-frequency domain samples and a channel estimate, estimates of data bits and likelihood numbers associated with the estimates of data bits, generated by delay-Doppler domain processing. In the feedback direction, the estimates of data bits are used to generate symbol estimates and autocorrelation matrix estimate in the time domain. In another configuration, a soft symbol mapper is used in the feedback direction for directly generating the feedback input symbol estimate without having to generate estimates of data bits.