OFDM Channel Estimation via Truncated SVD

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Solution Overview

Problem

Traditional EM channel estimation methods for OFDM systems are inefficient due to high complexity and divergence issues caused by 'null' subcarriers, especially in practical systems like LTE, which require more accurate and power-efficient channel estimation.

Innovation Solution

The proposed method uses truncated singular value decomposition (TSVD-EM) of a partial FFT matrix, excluding 'null' subcarriers, to reduce calculation complexity and ensure matrix invertibility, thereby improving channel estimation accuracy and convergence.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional EM channel estimation is used in OFDM systems with null subcarriers, then channel estimation accuracy can be improved, but computational complexity increases and matrix inversion becomes problematic

Engineering Contradiction:
Improvechannel estimation accuracyVSAvoidcomputational complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent extracts and removes the problematic null subcarriers from the OFDM signal processing chain. By identifying and excluding these null subcarriers from the channel estimation process, the method avoids the computational issues and matrix inversion problems that would otherwise occur, while maintaining estimation accuracy on the valid subcarriers.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent segments the channel estimation process into separate handling of null and non-null subcarriers. By dividing the frequency spectrum into null subcarrier portions and non-null subcarrier portions, the method can apply appropriate processing to each segment, avoiding the need to invert matrices that would include the null subcarriers.

Inventive Principle:
Principle #1Segmentation

2Measurement precision

If iterative channel estimation is implemented to improve accuracy, then channel estimate precision improves, but processing time and latency increase

Engineering Contradiction:
Improvechannel estimate precisionVSAvoidprocessing latency
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent performs preliminary actions by pre-identifying and pre-processing the null subcarrier information before the main channel estimation process. This preliminary handling of null subcarriers reduces the computational burden during iterative estimation, allowing faster convergence and lower latency while maintaining high precision.

Inventive Principle:
Principle #10Preliminary action

3Quantity of substance

If all subcarriers are included in channel estimation, then estimation completeness is maintained, but computational efficiency decreases due to null subcarriers

Engineering Contradiction:
Improvenumber of subcarriers processedVSAvoidcomputational efficiency
Core Design Contradiction:
Quantity of substanceVSProductivity

Solution Approach 1:

The patent extracts and removes null subcarriers from the set of subcarriers processed for channel estimation. By taking out these unnecessary null subcarriers, the method reduces the quantity of data processed while maintaining the completeness of estimation for the actual signal-carrying subcarriers, thereby improving computational efficiency.

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS8503556B2Channel estimation method
Publication Date: 2013.08.06 SEQUANS COMMUNICATIONS
  • US8503556B2 patent drawing
  • US8503556B2 patent drawing
  • US8503556B2 patent drawing

AI summary

A channel estimating method is provided for a signal transmitted in an orthogonal frequency division multiplexing (OFDM) system, wherein an OFDM symbol of the signal has at least one null subcarrier set in its defined bandwidth. The method includes: obtaining at least one initial channel estimate over at least one OFDM symbol of a received signal; processing the at least one initial channel estimate for delivering at least one soft information in a form of a complete matrix; and updating the at least one initial channel estimate by performing a truncated singular value decomposition of a partial FFT matrix. The partial FFT matrix includes only the first LDP columns and the rows NDP of an FFT matrix of the complete matrix, the NDP rows corresponding to modulated subcarriers of received signal, including data and pilot symbols and excluding the at least one null subcarrier, delivering an improved channel estimate.