A method for determining the statistics of the self-noise in a first-order correlation loop using signals with pseudonoise type properties is presented. A model for this type of signal is developed. Self-noise components are evaluated, and the thermal noise is examined. The approach is reasonably general and can be applied to a variety of signal structures and precorrelation filters. In many interesting cases, it is possible to use central limit theorem arguments to show that the equivalent noise is approximately additive, white, and Gaussian over the loop bandwidth.
K. L. Kosbar and C. J. Scholten, "Analysis of Baseband Equivalent Noise in a First-Order Correlation Loop Utilizing Filtered Pseudonoise Signals," Proceedings of the IEEE Military Communications Conference, 1991. MILCOM '91, Institute of Electrical and Electronics Engineers (IEEE), Jan 1991.
The definitive version is available at http://dx.doi.org/10.1109/MILCOM.1991.258272
IEEE Military Communications Conference, 1991. MILCOM '91
Electrical and Computer Engineering
Keywords and Phrases
DLL; PLL; Baseband Equivalent Noise; Central Limit Theorem; Correlation Methods; Filtered Pseudonoise Signals; Filtering and Prediction Theory; First-Order Correlation Loop; Loop Bandwidth; Noise; Phase-Locked Loops; Precorrelation Filters; Thermal Noise
Article - Conference proceedings
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