DocumentCode
3128450
Title
Efficient PGA LFSR Implementation Whitens Pseudorandom Numbers
Author
Colavito, Leonard ; Silage, Dennis
fYear
2009
fDate
9-11 Dec. 2009
Firstpage
308
Lastpage
313
Abstract
Linear feedback shift registers (LFSR) are commonly utilized in digital communication system simulations as noise and data sources because they are easily implemented and require minimal resources. However, the LFSR exhibits a deficiency common to all multiplicative congruential pseudorandom number generators (PNG). This class of PNG exhibits a correlation between successive values that gives an undesired low-pass characteristic to the generated sequence. This characteristic can affect the simulation results when whiteness of the pseudorandom random sequence is assumed. Several techniques have been proposed to mitigate this deficiency. In this paper we demonstrate how one of these proposed techniques, multiple-bit skip-ahead, can be efficiently implemented in programmable gate array hardware (PGA) so that under specific conditions, the computational complexity and required hardware resources are minimal.
Keywords
computational complexity; digital communication; programmable logic arrays; random number generation; random sequences; shift registers; PGA LFSR implementation; computational complexity; data source; digital communication system simulations; hardware resources; linear feedback shift registers; multiple-bit skip-ahead techniques; multiplicative congruential pseudorandom number generators; noise source; programmable gate array hardware; pseudorandom random sequence; undesired low-pass characteristic; Character generation; Computational modeling; Computer simulation; Digital communication; Electronics packaging; Field programmable gate arrays; Hardware; Linear feedback shift registers; Polynomials; Random sequences; FPGA; LFSR; Whitening;
fLanguage
English
Publisher
ieee
Conference_Titel
Reconfigurable Computing and FPGAs, 2009. ReConFig '09. International Conference on
Conference_Location
Quintana Roo
Print_ISBN
978-1-4244-5293-4
Electronic_ISBN
978-0-7695-3917-1
Type
conf
DOI
10.1109/ReConFig.2009.11
Filename
5382070
Link To Document