SC-MIMO Equalization via Segmented Transfer Functions
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Solution Overview
Problem
In wireless communication systems using single carrier multiple-input multiple-output (SC-MIMO) transmission, existing methods face challenges in reducing computation complexity and suppressing residual errors due to tap truncation when dealing with large channel impulse response lengths and infinite impulse response (IIR) transfer functions.
Innovation Solution
A wireless communication system and method that employs a transmitting station and receiving station apparatus, utilizing training signals and transfer function estimation to equalize inter-antenna and inter-symbol interference, with the transmitting station generating and transmitting training signals and receiving station calculating and transmitting transfer functions to reduce computation and suppress residual errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If polynomial multiplication is performed to calculate the transfer function matrix of the equalization unit, then the equalization of inter-antenna interference and inter-symbol interference is achieved, but when the length of the channel impulse response is large, the degree of the polynomial increases and the computation amount becomes large
Solution Approach 1:
The patent divides the equalization function into two separate units: a transmission end linear equalization unit that equalizes inter-antenna interference, and a reception end linear equalization unit that equalizes inter-symbol interference. This segmentation allows each unit to have a simpler transfer function with lower polynomial degree, reducing the computation amount while maintaining overall equalization performance.
2Reliability
If an infinite impulse response (IIR) type transfer function is used for equalization, then the equalization capability is improved, but errors due to tap truncation remain and IAI/ISI components are not fully suppressed
Solution Approach 1:
The patent segments the equalization process into two distinct stages with different transfer function types. The transmission end uses an FIR-type equalization for IAI suppression, while the reception end uses an IIR-type equalization for ISI suppression. This segmentation allows each stage to optimize for its specific interference type without the drawbacks of using a single IIR filter for both purposes.
Data Source
AI summary
In the present invention, a transmitting station apparatus includes a training signal generation unit, a transmission end linear equalization unit configured to output a plurality of second data signals obtained by equalizing IAI of a plurality of first data signals by using a transmission end transfer function for equalizing IAI, and a transmitting station communication unit configured to transmit a training signal or the plurality of second data signals to a receiving station apparatus and receive information on the transmission end transfer function from the receiving station apparatus, and the receiving station apparatus includes a communication path estimation unit configured to estimate a communication path response from the training signal received by the receiving station communication unit, a reception end coefficient calculation unit configured to calculate the transmission end transfer function and a reception end transfer function for equalizing ISI, based on the communication path response, and a reception end linear equalization unit configured to output a plurality of third data signals obtained by equalizing ISI from the plurality of second data signals received by the receiving station communication unit by using the reception end transfer function.