18272888. SIGNAL VECTOR DERIVATION APPARATUS, METHOD, PROGRAM, AND RECORDING MEDIUM simplified abstract (ADVANTEST CORPORATION)

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SIGNAL VECTOR DERIVATION APPARATUS, METHOD, PROGRAM, AND RECORDING MEDIUM

Organization Name

ADVANTEST CORPORATION

Inventor(s)

Yuji Ogata of Miyagi (JP)

Tomonori Yanagida of Miyagi (JP)

SIGNAL VECTOR DERIVATION APPARATUS, METHOD, PROGRAM, AND RECORDING MEDIUM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18272888 titled 'SIGNAL VECTOR DERIVATION APPARATUS, METHOD, PROGRAM, AND RECORDING MEDIUM

Simplified Explanation

The signal vector derivation apparatus receives measurement results from sensors that capture signals represented by vectors with predetermined directions and triaxial components. It then derives the direction of the vector based on the measurement results and coefficients.

  • Spectrum deriving section: Derives a spectrum based on measurement results and coefficients, with local maximum values indicating signal sources.
  • Direction deriving section: Determines the direction of the vector using coefficients from the spectrum.

Potential Applications

This technology could be applied in various fields such as:

  • Signal processing
  • Robotics
  • Navigation systems

Problems Solved

This technology helps in:

  • Accurately determining the direction of signals
  • Enhancing signal processing efficiency

Benefits

The benefits of this technology include:

  • Improved accuracy in signal vector derivation
  • Enhanced performance of sensor systems

Potential Commercial Applications

A potential commercial application for this technology could be in:

  • Advanced sensor systems for autonomous vehicles

Possible Prior Art

One possible prior art for this technology could be:

  • Existing signal processing algorithms used in sensor systems

Unanswered Questions

How does this technology compare to existing signal processing methods?

This technology offers a more efficient and accurate way of deriving signal vectors compared to traditional methods. It utilizes coefficients to enhance the spectrum deriving process, leading to improved results.

What impact could this technology have on the development of autonomous systems?

This technology could significantly improve the performance of autonomous systems by providing more precise information about signal sources, leading to better decision-making capabilities.


Original Abstract Submitted

A signal vector derivation apparatus receives measurement results from a plurality of sensors that receive signals each represented by a vector having a predetermined direction and measure triaxial components orthogonal to each other and derives the direction of the vector. The measurement results from the sensors are each proportional to a sum of the triaxial components of the vector multiplied, respectively, by first coefficients. The signal vector derivation apparatus includes a spectrum deriving section and a direction deriving section. The spectrum deriving section derives a spectrum obtained based on the measurement results from the sensors and a sum of the first coefficients multiplied, respectively, by second coefficients, the spectrum having local maximum values within voxels in which signal sources that output the respective signals exist. The direction deriving section derives the direction of the vector based on the second coefficients used to obtain the spectrum.