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Muralidhar A Rangaswamy

from Dayton, OH
Age ~61
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Also known as:
Muralidhar A Rangeswamy, Muralidhar Rangaswam, Rangaswamy Muralidhar, Muralidhar M
Phone and address:
10908 Cobble Brook Dr, Dayton, OH 45458
Related to:
Anirudh M Rangaswamy, 26
Connected to:
Anand Rangaswamy, 41Chetan Rangaswamy, 48Ganesh I Rangaswamy, 54Govindraj M Rangaswamy, 65Granthana K Rangaswamy, 43Karthik Rangaswamy, 37Lakshmi V Rangaswamy, 54Malaipatty R Rangaswami, 90Nandini Rangaswamy, 36Praveen Rangaswamy, 43

Muralidhar Rangaswamy Phones & Addresses

  • 10908 Cobble Brook Dr, Dayton, OH 45458
  • Centerville, OH
  • Owensboro, KY
  • 22 Byard Ln, Westborough, MA 01581 (508) 836-3382
  • 37 Briarwood Ln, Marlborough, MA 01752 (508) 303-6765
  • Lowell, MA
  • Hanscom AFB, MA
  • 22 Byard Ln, Westborough, MA 01581 (508) 341-7278

Work

Position: Professional/Technical

Education

Degree: Graduate or professional degree

Resumes

Resumes

Muralidhar Rangaswamy Photo 1

Technical Lead For Radar Sensing, Afrl And Rymd

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Location:
Dayton, OH
Industry:
Defense & Space
Work:
Air Force Research Laboratory Sensors Directorate
Technical Lead For Radar Sensing, Afrl and Rymd
Sensors Directorate Air Force Research Laboratory
Principal Research Electronics Engineer and Senior Advisor For Radar Research
Arcon Corporation Oct 1996 - Aug 2001
Senior Scientist
Northeastern University Mar 1994 - Sep 1996
Senior Research Scientist
Rome Laboratory Mar 1993 - Mar 1994
National Research Council Post Doctoral Research Associate
Education:
Syracuse University 1986 - 1992
Master of Science, Doctorates, Masters, Doctor of Philosophy, Electrical Engineering Bangalore University Visveswaraya College of Engineering 1981 - 1985
Bachelor of Engineering, Bachelors, Electronics Engineering
Skills:
Integration
Systems Engineering
Signal Processing
Rf
Requirements Analysis
Sensors
Digital Signal Processing
Sdlc
Statistical Signal Processing
Program Management
Digital Signal Processors
Simulations
Engineering Management
Research
Security Clearance
Programming
Software Development
Embedded Systems
Matlab
Telecommunications
Sql
Algorithms
Electronics
Radar
R&D
System Design
System Architecture
Image Processing
Electromagnetics
Electrical Engineering
Aerospace
Vhdl
Optics
Space Systems
Antennas
Labview
Testing
Software Engineering
Electronic Warfare
Physics
Fortran
Technical Leadership
C4Isr
Systems Design
Research and Development
Radio Frequency
Interests:
Children
Politics
Environment
Education
Science and Technology
Disaster and Humanitarian Relief
Health
Muralidhar Rangaswamy Photo 2

Technical Advisor Afrl

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Location:
Dayton, OH
Industry:
Defense & Space
Work:

Technical Advisor Afrl
United States Air Force
Technical Advisor Afrl and Ryap

Publications

Us Patents

Normalized Matched Filter—A Low Rank Approach

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US Patent:
H002222, Aug 5, 2008
Filed:
Oct 13, 2005
Appl. No.:
11/251007
Inventors:
Muralidhar Rangaswamy - Westborough MA, US
Freeman Lin - Acton MA, US
Assignee:
The United States of America as represented by the Secretary of the Air Force - Washington DC
International Classification:
H03D 1/00
G01S 13/534
US Classification:
342159
Abstract:
This invention addresses the problem of radar target detection in severely heterogeneous clutter environments. Specifically, we present the performance of the normalized matched filter test in a background of disturbance consisting of clutter having a covariance matrix with known structure and unknown scaling plus background white Gaussian noise. It is shown that when the clutter covariance matrix is low rank, the (LRNMF) test retains invariance with respect to the unknown scaling as well as the background noise level and has an approximately constant false alarm rate (CFAR). Therefore, a technique known as self-censoring reiterative fast maximum likelihood/adaptive power residue (SCRFML/APR) is developed to treat this problem and its performance is discussed. The SCRFML/AP method is used to estimate the unknown covariance matrix in the presence of outliers. This covariance matrix estimate can then be used in the LRNAMF or any other eigen-based adaptive processing technique.

Multichannel Parametric Adaptive Matched Filter Receiver

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US Patent:
62263218, May 1, 2001
Filed:
May 8, 1998
Appl. No.:
9/074821
Inventors:
James H. Michels - Clinton NY
Muralidhar Rangaswamy - Marlborough MA
Jaime R. Roman - Palm Beach Gardens FL
Dennis W. Davis - Eustis FL
Assignee:
The United States of America as represented by the Secretary of the Air
Force - Washington DC
International Classification:
H04B 346
H03D 100
H03D 104
US Classification:
375227
Abstract:
Apparatus and method for improving the detection of signals obscured by either correlated Gaussian or non-Gaussian noise plus additive white Gaussian noise using Estimates from multi-channel data of model parameters that describe the noise disturbance correlation are obtained from data that contain signal-free data vectors, referred to as "secondary" or "reference" cell data. These parameters form the coefficients of a multi-channel whitening filter. A data vector to be tested for the presence of a signal passes through the multi-channel whitening filter. The filter's output is then processed to form a test statistic. The test statistic is compared to a threshold value to decide whether a signal is "present" or "absent". Embodiments of the apparatus and method include estimating the signal amplitude both implicitly and explicitly and calculating test statistics for signal detection in both Gaussian and non-Gaussian noise.
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Muralidhar A Rangaswamy from Dayton, OH, age ~61 Get Report