CALIBRATION OF SENSOR CHANNEL DELAY UNCERTAINTIES FOR LINEAR MICROPHONE ARRAYS IN FAR FIELD

1996 ◽  
Vol 06 (06) ◽  
pp. 607-618
Author(s):  
MING ZHANG ◽  
M.H. ER
Keyword(s):  
Computer Simulations ◽  
A Priori ◽  
Microphone Arrays ◽  
Far Field ◽  
A Priori Information ◽  
New Methods ◽  
Sensor Channel ◽  
Priori Information

In this paper, we present three new methods to calibrate the microphone channel delay uncertainties, and to estimate the talker location for linear microphone arrays in the far field. The proposed methods are based on different a priori information and can be applied to different cases, respectively. The proposed methods are simple and practical. The estimate errors are analytically derived and analyzed. Computer simulations and theoretical computations support the proposed methods.

EFFICIENCY OF NEW METHODS FOR ESTIMATING ORBITS OF UNKNOWN NEAREARTH SPACE OBJECTS USING SHORT OPTICAL TRACKS OBTAINED OVER A FEW WEEKS INTERVAL

2019 ◽  
pp. 92-104
Author(s):  
A. P. Ivanov ◽  
A. E. Kolessa ◽  
A. P. Lukyanov ◽  
V. A. Radchenko
Keyword(s):  
A Priori ◽  
Quality Criterion ◽  
A Priori Information ◽  
Computing Power ◽  
Orbital Parameters ◽  
Near Earth Space ◽  
New Methods ◽  
Space Objects ◽  
Long Time ◽  
Priori Information

The work on a representative array of data demonstrates the capabilities of a new, essentially non‑linear algorithm for estimating the orbital parameters of near‑Earth space objects on several short optical tracks separated by long time pauses. The analysis of the work of the algorithm was carried out for five space objects moving in different orbits, including circular, high‑elliptical and low‑orbit with deceleration in the atmosphere and without it. When obtaining estimates of the parameters of the orbits, a priori information was not used. In all the experiments performed, including for very short tracks separated by a long pause in the observations, the minimum possible values of the quality criterion were achieved. The algorithm does not require large computing power – the calculation of the orbit on two tracks on a portable personal computer takes a split second.

Resolution Enhancement of Composite Spectra with Fractal Noise in Derivative Spectrometry

2000 ◽  
Vol 54 (5) ◽  
pp. 721-730 ◽  
Author(s):  
S. S. Kharintsev ◽  
D. I. Kamalova ◽  
M. Kh. Salakhov
Keyword(s):  
A Priori ◽  
Resolution Enhancement ◽  
Numerical Differentiation ◽  
A Priori Information ◽  
Experimental Ir ◽  
Composite Spectra ◽  
Self Similar ◽  
Priori Information ◽  
Fractal Noise ◽  
Derivative Spectrometry

The problem of improving the resolution of composite spectra with statistically self-similar (fractal) noise is considered within the framework of derivative spectrometry. An algorithm of the numerical differentiation of an arbitrary (including fractional) order of spectra is produced by the statistical regularization method taking into account a priori information on statistical properties of the fractal noise. Fractal noise is analyzed in terms of the statistical Hurst method. The efficiency and expedience of this algorithm are exemplified by treating simulated and experimental IR spectra.

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