Multinomial Distribution

Performance analysis of multinomial distribution of group assignment framed ALOHA for multiple RFID

2014 11th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) ◽

10.1109/ecticon.2014.6839857 ◽

2014 ◽

Cited By ~ 1

Author(s):

Bancha Lertmaneekarn ◽

Natthapol Moolsiri ◽

Thanyawarat Pawasopon ◽

Suvepon Sittichivapak

Keyword(s):

Performance Analysis ◽

Multinomial Distribution ◽

Group Assignment

Download Full-text

A Novel Blind Signal Detector Based on the Entropy of the Power Spectrum Subband Energy Ratio

Entropy ◽

10.3390/e23040448 ◽

2021 ◽

Vol 23 (4) ◽

pp. 448

Author(s):

Han Li ◽

Yanzhu Hu ◽

Song Wang

Keyword(s):

Power Spectrum ◽

Detection Method ◽

Multinomial Distribution ◽

Sample Entropy ◽

Energy Ratio ◽

Statistical Characteristics ◽

Interval Probability ◽

Blind Signal ◽

Signal Detector ◽

Subband Energy

In this paper, we present a novel blind signal detector based on the entropy of the power spectrum subband energy ratio (PSER), the detection performance of which is significantly better than that of the classical energy detector. This detector is a full power spectrum detection method, and does not require the noise variance or prior information about the signal to be detected. According to the analysis of the statistical characteristics of the power spectrum subband energy ratio, this paper proposes concepts such as interval probability, interval entropy, sample entropy, joint interval entropy, PSER entropy, and sample entropy variance. Based on the multinomial distribution, in this paper the formulas for calculating the PSER entropy and the variance of sample entropy in the case of pure noise are derived. Based on the mixture multinomial distribution, the formulas for calculating the PSER entropy and the variance of sample entropy in the case of the signals mixed with noise are also derived. Under the constant false alarm strategy, the detector based on the entropy of the power spectrum subband energy ratio is derived. The experimental results for the primary signal detection are consistent with the theoretical calculation results, which proves that the detection method is correct.

Download Full-text