2014Unpublished venueRequires access

Randomness Analysis of Pseudo Random Noise Generator Using 24-Bits LFSR

Siti Hazwani, Sheroz Khan, M.U. Siddiqi, Khalid A. Saeed Al-Khateeb, Mohamed Hadi Habaebi, Zeeshan Shahid

Open publisher page 8 citations

Abstract

We have described in previous work the generation of PN-sequence by employing a 4-bit shifted Linear Feedback Shift Register (LFSR) for application into Direct Sequence Spread Spectrum (DSSS) system by simulation. In this paper, is proposed a pseudo random number generator (PRNG) circuit consisting of 24-bit shift registers (LFSR) which has much longer period to improve statistical properties. We simulated the LFSR circuit by using Multisim 11.0 and the pseudo random sequence generated is tested with statistical test of NIST Test suite. The sequence is passed the entire selected test and we concluded that our pseudo random sequence has long enough period to be considered as random.

About this research paper

What this paper is about

We have described in previous work the generation of PN-sequence by employing a 4-bit shifted Linear Feedback Shift Register (LFSR) for application into Direct Sequence Spread Spectrum (DSSS) system by simulation. In this paper, is proposed a pseudo random number generator (PRNG) circuit consisting of 24-bit shift registers (LFSR) which has much longer period to improve statistical properties. We simulated the LFSR circuit by using Multisim 11.0 and the pseudo random sequence generated is tested with statistical test of NIST Test suite. The sequence is passed the entire selected test and we concluded that our pseudo random sequence has long enough period to be considered as random.

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OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

We have described in previous work the generation of PN-sequence by employing a 4-bit shifted Linear Feedback Shift Register (LFSR) for application into Direct Sequence Spread Spectrum (DSSS) system by simulation. In this paper, is proposed a pseudo random number generator (PRNG) circuit consisting of 24-bit shift registers (LFSR) which has much longer period to improve statistical properties. We simulated the LFSR circuit by using Multisim 11.0 and the pseudo random sequence generated is tested with statistical test of NIST Test suite. The sequence is passed the entire selected test and we concluded that our pseudo random sequence has long enough period to be considered as random.

Key concepts: NIST, Linear feedback shift register, Randomness, Shift register, Pseudorandom number generator, Random number generation, Sequence (biology), Algorithm

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