Electronic Resource
Fast envelope correlation for passive ranging.
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: | |
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 |
الوصف غير متاح. |