Ambiguity and sidelobe behavior of CAZAC coded waveforms

Kebo, Andrew; Konstantinidis, I.; Benedetto, John J.; Dellomo, Michael R.; Sieracki, J.M.

doi:10.1109/radar.2007.374198

Cited by 24 publications

(14 citation statements)

References 12 publications

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“…They http://asp.eurasipjournals.com/content/2012/1/180 also exhibit very tight localization in the delay-Doppler plane that can enhance the range resolution and rangerate resolution of the measurements. The discrete AF of a Björck CAZAC sequence is given by [21] AF ξ (n, ν)…”

Section: Björck Cazac Sequencesmentioning

confidence: 99%

Adaptive highly localized waveform design for multiple target tracking

Kyriakides

Morrell

Papandreou-Suppappola

2012

EURASIP J. Adv. Signal Process.

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When tracking multiple targets, radar measurements from weak targets are often masked by the ambiguity function (AF) sidelobes of the measurements from stronger targets. This results in deteriorated tracking performance and lost tracks. In this study, we consider the design of configurable waveforms whose AF sidelobes can be positioned to unmask weak targets. Specifically, we construct multicarrier phase-coded (MCPC) waveforms based on Björck constant amplitude zero-autocorrelation (CAZAC) sequences. The MCPC CAZAC waveforms exhibit wide regions in their AF surface without sidelobes and allow for selective positioning of sidelobes. We apply these waveforms in the context of a target tracker by selecting waveform parameters that minimize the expected tracking error. We show that this is accomplished by selecting the position of AF sidelobes to unmask weak targets. The target tracker is based on an independent partitions likelihood particle filter that is capable of processing the high-resolution measurements resulting from the Björck CAZAC sequences and tracks a fixed and known number of targets. Using simulations, we demonstrate the improvement in tracking performance when we adaptively select the MCPC CAZAC waveforms over tracking using non-adaptive waveform configurations or single-carrier phase-coded CAZAC waveforms.

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Section: Björck Cazac Sequencesmentioning

confidence: 99%

Adaptive highly localized waveform design for multiple target tracking

Kyriakides

Morrell

Papandreou-Suppappola

2012

EURASIP J. Adv. Signal Process.

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“…An example of CAZAC sequence [7] is given in (1). Let L be any positive integer bigger than one, and let p be any number which is relatively prime to L .…”

Section: Cazac Sequence and Its Transform Matrixmentioning

confidence: 99%

“…Constant Amplitude Zero Auto Correlation Sequence (CAZAC) has good periodic correlation properties [6][7], but there is lack of sequence relevant theoretical analysis.…”

Section: Introductionmentioning

confidence: 99%

A Novel PAPR Reduction Method in OFDM Systems by Using CAZAC Matrix Transform

Qiu

Zhu

2008

2008 4th International Conference on Wireless Communications, Networking and Mobile Computing

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One of the major disadvantage of OFDM is the high peak-to-average power ratio (PAPR) of the transmitted OFDM signal. This paper proofed the autocorrelation properties of CAZAC Sequence, and then proposed a new method to reduce the PAPR in OFDM systems based on CAZAC sequence by taking advantage of the low autocorrelation characteristics of CAZAC sequence .This scheme expands the conventional OFDM signal constellation points, and decreases relevance between the frequency symbols in order to reduces the PAPR of the OFDM system. Simulations results show that CAZAC transform can significantly reduce the PAPR of the transmitted signal and without loss of BER performance along with low-complexity and easy implementation.

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“…Chirp signal has been widely used in technology, for example, the radar system [1], as the linear FM pulse signal, the spectrum analyser as the sweep signal, the communications as the chirp modulation signal [2], and CAZAC sequence. Since the CAZAC sequences have constant amplitude and zero autocorrelation properties, they are now widely used in the fields of channel estimation and time and frequency synchronizations for OFDM (orthogonal frequency division multiplexing) and CDMA (code division multiple access) techniques which are employed as the standard transmission techniques in the wireless communications systems [3][4][5]. For the discrete Fourier transform theory, attached the chirp signal and Fourier transform, two kinds of transforms were already defined, namely, chirp z transform and chirp-Fourier transform.…”

Section: Introductionmentioning

confidence: 99%

Chirp Signal Transform and Its Properties

Horai

Kobayashi

Nitta

2014

Journal of Applied Mathematics

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The chirp signalexp(iπ(x-y)2)is a typical example of CAZAC (constant amplitude zero autocorrelation) sequence. Using the chirp signals, the chirp z transform and the chirp-Fourier transform were defined in order to calculate the discrete Fourier transform. We define a transform directly from the chirp signals for an even or odd numberNand the continuous version. We study the fundamental properties of the transform and how it can be applied to recursion problems and differential equations. Furthermore, whenNis not prime and N=ML, we define a transform skippedLand develop the theory for it.

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Ambiguity and sidelobe behavior of CAZAC coded waveforms

Cited by 24 publications

References 12 publications

Adaptive highly localized waveform design for multiple target tracking

Adaptive highly localized waveform design for multiple target tracking

A Novel PAPR Reduction Method in OFDM Systems by Using CAZAC Matrix Transform

Chirp Signal Transform and Its Properties

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