Electronic Resource

Fast envelope correlation for passive ranging.

التفاصيل البيبلوغرافية
العنوان: Fast envelope correlation for passive ranging.
المؤلفون: Hippenstiel, Ralph D., Titus, Harold A., Naval Postgraduate School, Electrical Engineering, Mika, Frank J.
بيانات النشر: Monterey, California. Naval Postgraduate School 2013-01-23T22:00:17Z 2013-01-23T22:00:17Z 1991-09
نوع الوثيقة: Electronic Resource
مستخلص: Application of classic triangulation methods will allow the location of a radar to be determined by passive sensors. Through the use of modern digital signal processing techniques this estimate can be made in a simpler fashion using a conventional receiver. In this thesis a technique is developed for time difference of arrival (TDOA) estimation using a frequency domain based correlation detector driven by an envelope detector. Time lag boundaries are defined on the output of the correlator. A fixed detection threshold is calculated to permit constant false alarm rate (CFAR) detection. The performance of the correlation detector is plotted as a receiver operating characteristic (ROC) curve as a function of signal to noise ratio (SNR) . An interactive MATLAB software program is provided to perform either spectral domain or time domain based correlation. Spectral domain based correlation uses the Fast Fourier Transform (FFT) . Implicit with the use of the FFT are finite arithmetic internal processing errors which are modeled as independent uncorrelated noise sources. A method is presented to account for SNR degradation at the output of the FFT.
http://archive.org/details/fastenvelopecorr1094526541
Civilian, United States Air Force
Approved for public release; distribution is unlimited.
مصطلحات الفهرس: fourier transform, correlation, frequency analysis, signal processing, Thesis
URL: https://hdl.handle.net/10945/26541
الاتاحة: Open access content. Open access content
ملاحظة: 104 p.;28 cm.
application/pdf
en_US
Other Numbers: AD# oai:calhoun.nps.edu:10945/26541
1142061431
المصدر المساهم: NAVAL POSTGRADUATE SCH
From OAIster®, provided by the OCLC Cooperative.
رقم الانضمام: edsoai.on1142061431
قاعدة البيانات: OAIster