OFDM Channel Estimation Using Time-Domain Least Squares

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Solution Overview

Problem

Conventional OFDM receivers face challenges in accurately estimating channel characteristics due to channel imperfections and the need for precise bit error rate (BER) management, especially in mobile and multi-antenna systems, where channel distortions and noise impact signal quality and throughput.

Innovation Solution

The implementation of a least squares channel estimation (LS-CE) method that generates a time-domain channel estimate through cross-correlation and basis vector corrections, allowing for robust and accurate channel correction in both time and frequency domains, even under conditions of channel variability and interference.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional frequency domain channel estimation is used, then channel estimation can be performed, but measurement precision and reliability are insufficient under severe channel conditions

Engineering Contradiction:
Improvechannel estimation accuracyVSAvoidperformance under severe channel conditions
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent inverts the conventional channel estimation approach by performing estimation in the time domain rather than the frequency domain. Instead of estimating channel frequency response directly, the method correlates received time-domain signals with known training sequences to obtain time-domain channel impulse response, then transforms to frequency domain. This inversion provides robustness against frequency-selective fading and improves accuracy under severe channel conditions.

Inventive Principle:
Principle #13The other way round (Inversion)

Solution Approach 2:

The patent introduces time-domain channel impulse response as an intermediary representation. By first obtaining the channel impulse response through correlation in the time domain, and then transforming to frequency domain via FFT, the method creates an intermediate step that separates the estimation process from the final frequency domain representation, enabling more accurate estimation under challenging conditions.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If time equalizer is implemented, then signal quality can be improved, but device complexity increases

Engineering Contradiction:
Improvesignal qualityVSAvoidequalizer structure
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent extracts and addresses time-domain channel distortions separately from frequency-domain equalization by implementing a time equalizer that operates on the channel impulse response. This separates the time dispersion compensation function from the frequency equalizer, allowing each to be optimized independently. The time equalizer removes multipath interference in the time domain, simplifying the overall equalization task.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent segments the equalization function into two distinct parts: a time equalizer that handles time-domain multipath effects using the channel impulse response, and a frequency equalizer that handles frequency-selective fading. This segmentation allows each equalizer to focus on specific types of distortions, improving overall signal quality while maintaining manageable complexity through specialized processing.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS9762414B2Least squares channel identification for OFDM Systems
Publication Date: 2017.09.12 PHY WIRELESS LLC
  • US9762414B2 patent drawing
  • US9762414B2 patent drawing
  • US9762414B2 patent drawing

AI summary

An OFDM system generates a channel estimate in the time domain for use in either a frequency domain equalizer or in a time domain equalizer. Preferably channel estimation is accomplished in the time domain using a locally generated reference signal. The channel estimator generates an initial estimate from a cross correlation between the time domain reference signal and an input signal input to the receiver and generates at least one successive channel estimate. Preferably the successive channel estimate is determined by vector addition (or subtraction) to the initial channel estimate. The at least one successive channel estimate reduces the minimum mean square error of the estimate with respect to a received signal.