DocumentCode
70833
Title
Extended Closed-Form Expressions for the Robust Symmetrical Number System Dynamic Range and an Efficient Algorithm for Its Computation
Author
Pace, P.E. ; Stanica, Pantelimon ; Luke, Brian L. ; Tedesso, Thomas W.
Author_Institution
Dept. of Electr. & Comput. Eng., Naval Postgrad. Sch., Monterey, CA, USA
Volume
60
Issue
3
fYear
2014
fDate
Mar-14
Firstpage
1742
Lastpage
1752
Abstract
The robust symmetrical number system (RSNS) is a number theoretic transform based on N ≥ 2 sequences that can extract the maximum amount of information from symmetrical folding waveforms. The sequences, based on coprime moduli, exhibit an integer gray code property making the RSNS well suited for many applications that benefit from an inherent error detection and correction capability, such as analog-to-digital converters, direction finding arrays, and radar waveform design. To use the RSNS, it is necessary to know the greatest length of combined sequences without ambiguities, called the dynamic range M̂, for which only a few closed-form expressions currently exist. In this paper, an efficient algorithm for computing M and its position within the combined set of sequences is presented and shown to be independent of the size of the moduli. The algorithm is used to generate the equations for several groups of additional moduli arrangements. Closed-form expressions for M are conjectured and proved using the obtained congruence equations that define the ambiguity locations.
Keywords
Gray codes; number theory; analog-to-digital converters; coprime moduli; correction capability; direction finding arrays; error detection; extended closed-form expressions; integer gray code property; number theoretic transform; radar waveform design; robust symmetrical number system dynamic range; Algorithm design and analysis; Closed-form solutions; Complexity theory; Dynamic range; Equations; Upper bound; Vectors; Integer Gray code; congruences; dynamic range algorithm; robust symmetrical number systems (RSNS);
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2014.2301820
Filename
6718111
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