Computationally efficient TDOA, FDOA and differential Doppler rate estimation algorithm for passive emitter localization

2013 ◽

Vol 443 ◽

pp. 392-396

Author(s):

Peng Zhou ◽

Chi Sheng Li

Keyword(s):

Signal To Noise Ratio ◽

Estimation Algorithm ◽

Frequency Resolution ◽

Phase Shift Keying ◽

Phase Jump ◽

Rate Estimation ◽

Awgn Channel ◽

Symbol Rate ◽

Shift Keying ◽

Simulation Results

In this paper, we proposed a new symbol rate estimation algorithm for phase shift keying (PSK) and qua drawtube amplitude modulation (QAM) signals in AWGN channel First we constructe a delay-multiplied signal, from which we obtaine the modulated information. Then we calculated the instantaneous autocorrelation of the delay-multiplied signal to pick out the phase jump. To eliminate the restriction of frequency resolution in fast Fourier transform, we performed a Chirp-Z transform to find out the exact spectral line which represente the symbol rate of the signal to be analyzed. Compared with the existing algorithms, it is a simple solution that has a better performance and accuracy in low signal-to-noise-ratio channel conditions. Simulation results show that the probability of relative estimating deviation below 0.1% reaches 100% and the average and standard variance of absolute estimation deviation are at the magnitude of 10-2 when SNR is over 2dB.

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Design and validation of a respiratory rate estimation algorithm based on photoplethysmography (PPG) signal

10.1109/rpic53795.2021.9648499 ◽

2021 ◽

Author(s):

Fernando Icazatti ◽

Carlos Dell'Aquila ◽

Eric Laciar Leber

Keyword(s):

Respiratory Rate ◽

Estimation Algorithm ◽

Rate Estimation

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An Emitter Localization Method Based on Multiple Differential Doppler Measurements

IEEE Latin America Transactions ◽

10.1109/tla.2022.9675458 ◽

2022 ◽

Vol 20 (4) ◽

pp. 537-544

Author(s):

William De Carvalho Rodrigues ◽

Jose Antonio Apolinario

Keyword(s):

Localization Method ◽

Differential Doppler ◽

Emitter Localization

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Conditional Analysis for Mixed Covariates, with Application to Feed Intake of Lactating Sows

Journal of Probability and Statistics ◽

10.1155/2019/3743762 ◽

2019 ◽

Vol 2019 ◽

pp. 1-14

Author(s):

S. Y. Park ◽

C. Li ◽

S. M. Mendoza Benavides ◽

E. van Heugten ◽

A. M. Staicu

Keyword(s):

Feed Intake ◽

Dynamic Change ◽

Estimation Algorithm ◽

Joint Estimation ◽

Efficient Estimation ◽

Specific Information ◽

Computationally Efficient ◽

Modeling Framework ◽

Lactating Sows ◽

Information Vector

We propose a novel modeling framework to study the effect of covariates of various types on the conditional distribution of the response. The methodology accommodates flexible model structure, allows for joint estimation of the quantiles at all levels, and provides a computationally efficient estimation algorithm. Extensive numerical investigation confirms good performance of the proposed method. The methodology is motivated by and applied to a lactating sow study, where the primary interest is to understand how the dynamic change of minute-by-minute temperature in the farrowing rooms within a day (functional covariate) is associated with low quantiles of feed intake of lactating sows, while accounting for other sow-specific information (vector covariate).

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