View source for 20240014953. METHOD FOR ESTIMATING BIT ERROR PROBABILITY USING ERROR RATE RATIO OF FRAME SYNCHRONIZATION WORD simplified abstract (KOREA AEROSPACE RESEARCH INSTITUTE)

=METHOD FOR ESTIMATING BIT ERROR PROBABILITY USING ERROR RATE RATIO OF FRAME SYNCHRONIZATION WORD=


==Organization Name==

[[:Category:KOREA AEROSPACE RESEARCH INSTITUTE|KOREA AEROSPACE RESEARCH INSTITUTE]]


[[Category:KOREA AEROSPACE RESEARCH INSTITUTE]]

==Inventor(s)==

[[:Category:Seokkwon Kim of Daejeon (KR)|Seokkwon Kim of Daejeon (KR)]][[Category:Seokkwon Kim of Daejeon (KR)]]

[[:Category:Sung Wan Kim of Daejeon (KR)|Sung Wan Kim of Daejeon (KR)]][[Category:Sung Wan Kim of Daejeon (KR)]]

[[:Category:Keunsu Ma of Daejeon (KR)|Keunsu Ma of Daejeon (KR)]][[Category:Keunsu Ma of Daejeon (KR)]]

==METHOD FOR ESTIMATING BIT ERROR PROBABILITY USING ERROR RATE RATIO OF FRAME SYNCHRONIZATION WORD - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240014953 titled 'METHOD FOR ESTIMATING BIT ERROR PROBABILITY USING ERROR RATE RATIO OF FRAME SYNCHRONIZATION WORD

==Simplified Explanation==

The present invention is a method for estimating the probability of bit errors in a communication system. The method uses the error rate ratio of a frame synchronization word to simplify the computational complexity, allowing for a relatively simple and economical implementation at a high computational speed.

* The method involves defining error rate ratios of frame synchronization words.
* A weighted least squares cost function is set with weights greater than or equal to 0, using the error rate ratios of the frame synchronization words.
* An estimated bit error probability value is obtained by minimizing the cost function.
* Sequentially obtaining the weights ensures that the mean squared error of the estimated bit error probability value becomes small.

Potential applications of this technology:

* Communication systems: The method can be applied in various communication systems, such as wireless networks, satellite communication, and optical communication, to estimate the probability of bit errors.
* Error correction: The estimated bit error probability can be used to optimize error correction techniques, improving the overall reliability and performance of the communication system.

Problems solved by this technology:

* Computational complexity: The method reduces the computational complexity involved in estimating the bit error probability, making it feasible to implement in simpler and more cost-effective systems.
* Speed: The method allows for high computational speed, enabling real-time estimation of bit error probabilities in fast-paced communication systems.

Benefits of this technology:

* Simplified implementation: The method provides a relatively simple and economical way to estimate bit error probabilities, making it accessible to a wider range of communication systems.
* Improved reliability: Accurate estimation of bit error probabilities allows for better optimization of error correction techniques, leading to improved reliability and performance of communication systems.
* Real-time estimation: The high computational speed of the method enables real-time estimation of bit error probabilities, facilitating timely decision-making and adjustments in communication systems.


==Original Abstract Submitted==

the present invention relates to a method for estimating a bit error probability using an error rate ratio of a frame synchronization word, to lower computational complexity such that the method can be implemented in a relatively simple and economical way at a high computational speed. the method includes the steps of: a) defining error rate ratios of frame synchronization words; b) setting a weighted least squares cost function with weights greater than or equal to 0 for the bit error probability using the error rate ratios of the frame synchronization words set in the step a); c) obtaining an estimated bit error probability value that minimizes the cost function set in the step b); and d) sequentially obtaining the weights so that a mean squared error of the estimated bit error probability value obtained in the step c) becomes small.



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