High resolution spectrum estimation for digital tracking array
Yeo, Kwang Hui
Jenn, David C.
Pace, Phillip E.
MetadataShow full item record
To design a high resolution spectrum estimation module as part of a digital tracking array system, the theory and mathematical formulations of several high resolution spectrum estimation methods are presented. In the implementation of a spectrum estimation system, the received signal is first down-converted to baseband frequency using single channel or in-phase (I) and quad phase (Q) channel down-converter before it is digitized using an analog-to-digital (ADC) converter. Three distinct frequency estimation methods, namely multiple signal classification (MUSIC), estimation of signal parameters via rotational invariance techniques (ESPRIT) and multi-resolution spectrum sensing (MRSS), are simulated to detect the inherent frequencies of a test signal. The performances, such as estimation accuracy, frequency resolution, processing speed, observation time, and resilience to noise, are measured and evaluated. Comparing the simulation results, the MRSS out-performs the MUSIC and ESPRIT in terms of spectral resolution, estimation accuracy, and robustness to noise. Though the MRSS requires a higher observation time and processing time, the values remain significantly low at 13 us and 2.4 us, respectively for SNR equals to -10 dB. Hence, the MRSS is proposed as the frequency estimation algorithm in the digital tracking array to provide accurate, robust, and high resolution spectrum estimation.
Showing items related by title, author, creator and subject.
Leino, Richard E. (Monterey, California. Naval Postgraduate School, 1996-09);Two algorithms are presented which allow for the unambiguous resolution of multiple undersampled frequency components in a signal. Digital signal processing is usually governed by the Nyquist criterion which limits the ...
Therrien, Charles; Oppenheim, Alan V.; Baggeroer, Arthur B.; Chandrakasan, Anantha P.; Wornell, Gregory W.; Aliberti, Giovanni; Gold, Bernard; Isabelle, Steven H.; Kschischang, Frank; Nawab, Hamid S.; Preisig, James C.; Weinstein, Ehud; Amirtharajah, Rajeevan; Barron, Richard J.; Beheshti, Soosan; Chan, Albert; Chen, Brian; Draper, Stark; Hadjicostis, Christoforos N.; Laneman, Nicholas J.; Lee, Li; Lopez, Michael J.; Ooi, James M.; Papadopoulos, Haralabos C.; Secor, Matthew J.; Seefeldt, Alan J.; Verbout, Shawn M.; Wage, Kathleen E.; Wang, Alex Che-Wei; Said, Maya R.; Chupp, Darla J.; Zaganjori, Janice M.; Eggen, Trym H.; Ludwig, Jeffrey T.; Sestok, Charles K.; Torres, Wade P. (Monterey, California. Naval Postgraduate School, 1997);The field of digital signal processing grew out of the flexibility afforded by the use of digital computers in implementing signal processing algorithms and systems. It has since broadened into the use of a variety of ...
Thornlow, Robert Timothy (Monterey, California: Naval Postgraduate School, 1990-12);Several techniques for estimation of the power spectral density (PSD) , or simply the spectrum, of discretely sampled short data sequences are investigated in this thesis. These techniques are directly based on the fast ...