2000
DOI: 10.1109/58.852081
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Code optimization for direct sequence spread spectrum and SAW-matched filter implementation

Abstract: This paper introduces a new optimization algorithm for the minimization of the time sidelobes of the correlation function of a pseudonoise (PN) sequence by applying dynamic weighting to the sequence. The resulting optimized time sidelobe level sequences are to be used in direct sequence spread spectrum (DS-SS) systems with digital modulations such as BPSK, DPSK, QPSK, etc. The new optimization algorithm starts with a PN sequence. It first optimizes the correlation time sidelobes for the case where the consecut… Show more

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Cited by 5 publications
(4 citation statements)
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“…Griep et al (1995) adopted a global optimization technique to select proper coding signal for multiple-user ultrasonic ranging sysrem. Osamu Hikino and his colleagues (Hikino O., Belkerdid M., & Malocha D, 2000) optimized PN sequences to reduce autocorrelation function's side-lobe. Nakahira et al (2005) used a combination of simulated annealing and hill climbing to minimize the peaks in the cross-correlation function as well as minimize the maximum side-lobe in the autocorrelation function.…”
Section: Introductionmentioning
confidence: 99%
“…Griep et al (1995) adopted a global optimization technique to select proper coding signal for multiple-user ultrasonic ranging sysrem. Osamu Hikino and his colleagues (Hikino O., Belkerdid M., & Malocha D, 2000) optimized PN sequences to reduce autocorrelation function's side-lobe. Nakahira et al (2005) used a combination of simulated annealing and hill climbing to minimize the peaks in the cross-correlation function as well as minimize the maximum side-lobe in the autocorrelation function.…”
Section: Introductionmentioning
confidence: 99%
“…Griep, Ritcey, and Burlingame (1995) adopted a global optimization technique to select proper coding signal for multiple-user ultrasonic ranging system. Hikino, Belkerdid, and Malocha (2000) optimized PN sequences to reduce autocorrelation function's side-lobe. Nakahira et al (2005) used a combination of simulated annealing and hill climbing to minimize the peaks in the cross-correlation function as well as minimize the maximum side-lobe in the autocorrelation function.…”
Section: Introductionmentioning
confidence: 99%
“…The better correlation characteristics of emission sequences mean that their echoes should have sharper autocorrelation and flatter cross-correlation. To obtain the better correlation characteristics of emission sequences, Osamu Hikino et al [11] optimized PN sequences to reduce autocorrelation side-lobe. Nakahira [8] used a combination of simulated annealing and hill climbing to minimize the maximum side-lobe in the autocorrelation as well as minimize the peaks in the cross-correlation.…”
Section: Introductionmentioning
confidence: 99%