Title :
Pseudonoise sequences based on algebraic feedback shift registers
Author :
Goresky, Mark ; Klapper, Andrew
Author_Institution :
Sch. of Math., Inst. for Adv. Study, Princeton, NJ, USA
fDate :
4/1/2006 12:00:00 AM
Abstract :
Over the past half century, various statistical properties of pseudorandom sequences have played important roles in a variety of applications. Among these properties are Golomb´s randomness conditions: (R1) balance, (R2) run property, and (R3) ideal autocorrelations, as well as the closely related properties (R4) shift and add, and (R5) de Bruin (uniform distribution of subblocks). The purpose of this paper is to describe the relationships among these conditions, and to introduce a new method for generating sequences with all these properties, using algebraic feedback shift registers.
Keywords :
binary sequences; correlation theory; pseudonoise codes; random sequences; shift registers; Golomb´s randomness condition; algebraic feedback shift register; ideal autocorrelation; pseudonoise sequence; run property; Associate members; Autocorrelation; Binary sequences; Feedback; Helium; Multiaccess communication; Random sequences; Shift registers; Spread spectrum radar; Testing; De Bruijn sequences; feedback shift registers; function fields; ideal autocorrelation; pseudorandom sequences;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2006.871045