Full-correlation analysis of turbulent scattering layers in the mesosphere observed by the MU radar

1989 ◽  
Vol 130 (2-3) ◽  
pp. 605-616 ◽  
Author(s):  
Mamoru Yamamoto ◽  
Toru Sato ◽  
Toshitaka Tsuda ◽  
Shoichiro Fukao ◽  
Susumu Kato
Keyword(s):  
Correlation Analysis ◽  
Mu Radar ◽  
Full Correlation Analysis

scholarly journals Variance of wind estimates using spaced antenna techniques with the MU radar

2004 ◽  
Vol 22 (11) ◽  
pp. 3863-3868
Author(s):  
G. Hassenpflug ◽  
M. Yamamoto ◽  
S. Fukao
Keyword(s):  
Experimental Data ◽  
Correlation Analysis ◽  
Error Propagation ◽  
Cross Correlation ◽  
Anisotropic Scattering ◽  
Standard Theory ◽  
Horizontal Wind ◽  
Mu Radar ◽  
Full Correlation Analysis

Abstract. Variance of horizontal wind estimates in conditions of anisotropic scattering are obtained for the Spaced Antenna (SA) Full Correlation Analysis (FCA) method of Holloway et al. (1997b) and Doviak et al. (1996), but are equally applicable to the Briggs method of FCA. Variance and covariance of cross-correlation magnitudes are theoretically estimated, and the standard theory of error propagation is used to estimate the variance of the wind components for the infinite SNR case. The effect of baseline orientation is investigated, and experimental data from the MU radar in Japan is presented.

Full-Correlation Analysis of Turbulent Scattering Layers in the Mesosphere Observed by the MU Radar

1989 ◽  
pp. 605-616
Author(s):  
Mamoru Yamamoto ◽  
Toru Sato ◽  
Toshitaka Tsuda ◽  
Shoichiro Fukao ◽  
Susumu Kato
Keyword(s):  
Correlation Analysis ◽  
Mu Radar ◽  
Full Correlation Analysis

scholarly journals Simulation of Spaced Antenna Wind Retrieval Performance on an X-Band Active Phased Array Weather Radar

2013 ◽  
Vol 30 (7) ◽  
pp. 1447-1459 ◽  
Author(s):  
V. Venkatesh ◽  
S. J. Frasier
Keyword(s):  
Correlation Analysis ◽  
Electric Fields ◽  
Time Domain ◽  
Phased Array ◽  
Weather Radar ◽  
Wind Retrieval ◽  
Fitting Procedure ◽  
X Band ◽  
The Time Domain ◽  
Full Correlation Analysis

Abstract Spaced antenna baseline wind retrievals, in conjunction with traditional Doppler measurements, are a potential means of fine angular resolution weather radar wind vector retrieval. A spaced antenna implementation on an X-band active phased array architecture is investigated via Monte Carlo simulations of the backscattered electric fields at the antenna array. Several retrieval methods are exercised on the data produced by the simulator. Parameters of the X-band spaced-antenna design are then optimized. Benefiting from the parametric fitting procedure inherent in the time domain slope at zero lag and full correlation analysis, the study finds both of these algorithms to be more immune to thermal noise than the spectral retrieval algorithms investigated. With appropriately chosen baselines, these time domain algorithms are shown to perform adequately for 5-dB SNR and above. The study also shows that the Gaussian slope at zero lag (G-SZL) algorithm leads to more robust estimates over a wider range of beamwidths than the Gaussian full correlation analysis (G-FCA) algorithm. The predicted performance of the X-band array is compared to a similar spaced antenna implementation on the S-band National Weather Radar Testbed (NWRT). Since the X-band signal decorrelates more rapidly (relative to S band), the X-band array accumulates more independent samples, thereby obtaining lower retrieval uncertainty. However, the same rapid decorrelation also limits the maximum range of the X-band array, as the pulse rate must be sufficiently high to sample the cross-correlation function. It also limits the range of tolerable turbulence velocity within the resolution cell.

Ultrasound tissue motion assessment using full correlation analysis

2012 ◽  
Author(s):  
Hirofumi Taki ◽  
Takuya Sakamoto ◽  
Makoto Yamakawa ◽  
Tsuyoshi Shiina ◽  
Toru Sato
Keyword(s):  
Correlation Analysis ◽  
Motion Assessment ◽  
Tissue Motion ◽  
Full Correlation Analysis

scholarly journals A Fast Correlation Method for Studying Drifting Patterns Associated with Ionospheric Irregularities

1970 ◽  
Vol 23 (5) ◽  
pp. 947
Author(s):  
DH Clark ◽  
DJ Stevenson
Keyword(s):  
Correlation Analysis ◽  
Curve Fitting ◽  
Digital Computer ◽  
Correlation Method ◽  
Ionospheric Irregularities ◽  
Full Correlation Analysis

The method commonly used in the analysis of drifting patterns associated with ionospheric irregularities is the full-correlation method of Briggs, Phillips, and Shinn (1950, hereafter referred to as BPS). A full-correlation analysis requires lengthy calculations, even on a digital computer, as it involves repetitive calculations and complicated curve-fitting techniques.

scholarly journals The Buckland Park MF radar: routine observation scheme and velocity comparisons

2004 ◽  
Vol 22 (11) ◽  
pp. 3815-3828 ◽  
Author(s):  
D. A. Holdsworth ◽  
I. M. Reid
Keyword(s):  
Correlation Analysis ◽  
Hf Radar ◽  
Angle Of Arrival ◽  
Wind Velocities ◽  
Temporal And Spatial ◽  
Routine Observation ◽  
Temporal And Spatial Characteristics ◽  
Full Correlation Analysis ◽  
Good Agreement ◽  
Mf Radar

Abstract. This paper describes the routine observations scheme implemented for the Buckland Park medium frequency (BPMF) radar. These observations are rare among current MF/HF radar observations in that they are made using a relatively narrow transmit polar diagram. The flexibility of the radar allows a number of analyses to be performed simultaneously. The analyses described include the full correlation analysis (FCA), spatial correlation analysis (SCA), hybrid Doppler interferometry (HDI) and imaging Doppler interferometry (IDI) for observations of mesospheric dynamics and the temporal and spatial characteristics of their scatterers, the differential absorption experiment (DAE) for the estimation of electron densities and collision frequencies, and meteor analysis for estimation of meteor height, time and angle of arrival (AOA) distributions. Intercomparisons between wind velocities estimated using the FCA with SCA, HDI and IDI techniques are presented. The FCA velocities exhibit the well-known "triangle size effect" (TSE), whereby the wind velocity is underestimated at smaller antenna spacings. Although the SCA, IDI and HDI techniques were not applied concurrently, comparisons using FCA as a reference suggest these techniques produce velocities in good agreement.

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