Industrial Consultancy & Sponsored Research (IC&SR) , IIT Madras
Method and Electronic Device for Estimating Frequencies of Multiple Sinusoids
Categories for this Invention
5G & Next Generation Networking
Industry: Telecommunications, Defense, Aerospace, Automotive Radar, Signal Processing, Frequency Estimation, Wireless Communication
Application: RADAR, SONAR, 5G, DoA Estimation, Wireless Communication, Antenna Array Processing
Market: The global Telecom Equipment market size was valued at $101472 Mn in 2022, it will reach $134069 Mn by 2028, with 4.75% CAGR during the forecasted period of 2022-2028.
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Problem Statement
- In various applications like RADAR and SONAR, accurate estimation of frequencies of multiple sinusoids in the presence of noise is essential.
- The problem of estimating the Direction of Arrival (DoA) of multiple plane waves is closely related to frequency estimation, particularly in cellular and wireless communication system 5G networks.
- Practical frequency estimators exhibit a threshold effect, where estimates variance sharply increases when SNR falls, impacting accuracy.
- Maximum-likelihood estimator (MLE) offers lowest threshold but is computationally burdensome, while subspace based methods are less computationally intensive, have higher threshold.
- There is a need for an estimator with the same threshold as MLE but with lower computational burden, offering significant practical benefits in various real-world applications.
- The instant invention addresses the need for a frequency estimation method to balance accuracy and computational efficiency.
Technology
The instant technology discloses a method for efficiently estimating frequencies of multiple sinusoids in noisy signals, offering a trade-off between computational complexity and accuracy.
Method:
Method for Estimating Frequencies:
- Processing received signal containing multiple sinusoids.
- Determining whether a candidate parameter (related to SNR and threshold SNR) is less than zero. Depending on this determination, it chooses between two frequency estimation techniques: a first technique if the candidate parameter is less than zero, and a second technique if it’s greater than zero.
Electronic Device for Implementing the Method:
- The electronic device comprises memory, processor, and communicator components. Wherein, the processor is responsible for carrying out the steps of determining candidate parameters, estimating SNR and threshold SNR, and performing frequency estimation techniques.
Specification of Frequency Estimation Techniques:
- The second frequency estimation technique can be one of the specified methods: ESPRIT, MUSIC, or Min-Norm.
Key Features / Value Proposition
User perspective:-
- Accurate estimation of frequencies in received signals.
- Adaptive selection of frequency estimation techniques based on signal characteristics.
- Improved reliability through outlier detection and frequency estimate refinement.
- Seamless integration into electronic devices for signal processing needs.
Industrial perspective:-
- Enhanced performance in various applications such as telecommunications, radar systems, and audio processing.
- Potential cost savings through efficient use of resources and improved signal processing algorithms.
- Competitive advantage by offering more reliable and accurate frequency estimation solutions.
- Meeting industry standards for signal processing accuracy and efficiency.
Technology perspective:-
- Utilization of advanced signal processing techniques for frequency estimation.
- Integration of multiple algorithms for robust performance across different signal scenarios.
- Optimization for real-time processing in electronic devices.
- Continuous improvement through research and development in signal processing technologies.
Questions about this Technology?
Contact For Licensing
sm-marketing@imail.iitm.ac.in
ipoffice2@iitm.ac.in
Research Lab
Prof. Ramalingam C S
Department of Electrical Engineering
Intellectual Property
IITM IDF No.: 1988 | IP No.: 403198 (Granted)
PCT: PCT/IN2021/050280
Technology Readiness Level
TRL – 4
Experimentally validated in lab.