Blind Carrier Frequency Offset Estimation in Wireless Receivers

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Solution Overview

Problem

Existing wireless communications systems face challenges in reliably compensating for carrier frequency offsets (CFOs) and separating user signals, especially in multi-user and multi-antenna systems, due to the need for costly and time-consuming training signals and increased hardware requirements.

Innovation Solution

A system and method for blind estimation of CFOs using over-sampling and polyphase components to construct a virtual receiver output matrix, allowing for the application of a blind system estimation algorithm to estimate CFOs and separate user signals without prior knowledge of the transmitter or transmission medium, thereby improving reception quality.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If training signals are used for CFO compensation and signal separation, then estimation accuracy is improved, but system cost and time consumption increase

Engineering Contradiction:
ImproveCFO estimation accuracyVSAvoidtime consumption
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent applies preliminary action by using over-sampling before the actual signal processing stage. The received signal is over-sampled by a factor of at least 2, which pre-processes the signal to contain redundant information that facilitates subsequent blind CFO estimation. This preliminary over-sampling enables the system to achieve accurate CFO estimation without requiring separate training signals, thus resolving the contradiction between estimation accuracy and time consumption.

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If training signals are used for CFO compensation and signal separation, then estimation accuracy is improved, but system cost increases

Engineering Contradiction:
ImproveCFO estimation accuracyVSAvoidsystem cost
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent implements self-service by enabling the system to estimate and compensate for CFOs using its own over-sampled received signal without external training signals. The blind estimation algorithm processes the over-sampled signal directly, extracting CFO information and separating user signals autonomously. This eliminates the need for additional training signal transmission and processing infrastructure, reducing system cost while maintaining estimation accuracy.

Inventive Principle:
Principle #25Self-service

3Adaptability or versatility

If multiple transceiver pairs are supported, then system versatility is improved, but hardware requirements increase

Engineering Contradiction:
Improvemulti-user support capabilityVSAvoidhardware requirements
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent applies universality by designing a single receive antenna system that can handle multiple user signals simultaneously through blind separation techniques. The over-sampled received signal contains superimposed signals from multiple transceivers, and the proposed algorithm separates these signals and estimates their respective CFOs without requiring separate processing chains for each user. This multi-functional approach allows one receive antenna to serve multiple users, avoiding the need for multiple antennas per user and reducing hardware complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS7929937B2System and method for blind estimation of multiple carrier frequency offsets and separation of user signals in wireless communications systems
Publication Date: 2011.04.19 THE TRUSTEES OF PRINCETON UNIV
  • US7929937B2 patent drawing
  • US7929937B2 patent drawing
  • US7929937B2 patent drawing

AI summary

A system and method for blind estimation of carrier frequency offsets (CFOs) and separation of user signals in wireless communications systems are provided. Blind estimation of CFOs (i.e., without knowledge of the conditions of the transmitter or the transmission medium/channel) is carried out in order to improve reception quality by a wireless communications device. A received RF signal is over-sampled by a pre-defined over-sampling factor, and polyphase components are extracted from the over-sampled signal. The polyphase components are used to construct a virtual receiver output matrix, e.g., a model of the received signal and its associated output matrix. System response conditions are blindly estimated by applying a blind system estimation algorithm to the virtual receiver output matrix. A plurality of CFO estimates are obtained from the estimated system response conditions, and can be used by an equalizer to adjust receiver parameters in accordance with the CFO estimates so as to maximize reception quality and to extract multiple user signals from the received signal.