A robust adaptive sensor array with Slepian sequences

Trump, Tonu

doi:10.1109/sam.2012.6250444

Cited by 8 publications

(5 citation statements)

References 5 publications

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“…The eigenvalues of Slepian window functions used in the example in this section are shown in figure (4). It is evident that window functions used are good in concentrating energy into the specified angular region.…”

Section: Robust Adaptive Sidelobe Canceller With Slepian Sequencesmentioning

confidence: 96%

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Robust adaptive beamforming for surveillance system using 2D antenna array

Tart

Trump

2014

2014 Tyrrhenian International Workshop on Digital Communications - Enhanced Surveillance of Aircraft and Vehicles (TIWDC/ESAV)

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In this paper we propose an algorithm for 2D antenna array that can be used in ground surveillance systems. Due to the multipath propagation of signals robustness against imperfect knowledge about direction of arrival (DOA) is needed. We achieve the needed robustness by using two dimensional Slepian window functions. Although main interest of our research is surveillance, results of it may be also implemented in other domains of CNS (communication, navigation and surveillance). It is so because relatively similar nature of the systems -they all exchange data between avionics and ground based systems.

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Section: Robust Adaptive Sidelobe Canceller With Slepian Sequencesmentioning

confidence: 96%

“…Compared with previous works (e.g. [4]) we have extended the theory to two dimensional case for extra robustness.…”

Section: Introductionmentioning

confidence: 99%

Robust adaptive beamforming for surveillance system using 2D antenna array

Tart

Trump

2014

2014 Tyrrhenian International Workshop on Digital Communications - Enhanced Surveillance of Aircraft and Vehicles (TIWDC/ESAV)

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“…In this work, linear antenna arrays with Chebyshev and Discrete Prolate Slepian Sequences (DPSS) [10] weights have been analysed for different HSLL targets. DPSS weights corresponding to maximum eigenvalue are selected out of N sequences obtained from the optimization problem maximizing the ratio of the energy in the main beam (between first nulls) to the total energy of the array factor [11], [12]. Both DPSS and Chebyshev approaches result in wide range of amplitudes at different elements of the array, depending on its size and beamwidth/HSLL.…”

Section: Realistic Feed Networkmentioning

confidence: 99%

An Analysis of Achievable Highest SLL in Moderate Phased Arrays with Quantized Control

Kochar

Vinoy

2019

2019 IEEE MTT-S International Microwave and RF Conference (IMARC)

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Phased arrays with discrete control circuitry for amplitudes and phases are analysed to investigate the impact of finite resolution phase sifters and RF attenuators on the achievable highest side lobe level (HSLL). Finite dynamic range offered by RF attenuators also limits the value of HSLL that can be achieved. The achieved HSLL may lie between 25 to 40 dB for practical values of dynamic range, depending on the array size and number of control bits. This aspect is studied for Chebyshev and discrete prolate spheroidal sequences (DPSS) arrays of different lengths. Finally, a novel approach for quantizing phases is proposed for reducing HSLL degradation.

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“…To incorporate the Slepian basis into our analysis, we replace this term by u i obtained from (10). Then the SCD of a single carrier signal x(t) = cos(2πf 0 t) with the Slepian basis can be written as The Slepian sequences u i are usually generated based on the sequence length N and the value of time half bandwidth product, let us denote by β, given by; β = N B 2 , with B = f max − f min being the effective bandwidth of the sequence.…”

Section: Proposed Approachmentioning

confidence: 99%

“…Due to the peculiar feature of this basis over the conventional Fourier Basis that it represents a set of orthogonal sequences which is exactly bandlimited and can simultaneously possess a high time concentration [9], it has been used for several applications such as adaptive beamforming [10], multitaper sensing [11], [12], and time-variant channel estimation [9]. To the best of authors' knowledge, this is the first time in the literature we exploit this approach in order to alleviate the cyclic frequency mismatch problem.…”

Section: Introductionmentioning

confidence: 99%

Improving robustness of cyclostationary detectors to cyclic frequency mismatch using Slepian basis

Sharma

Bogale

Chatzinotas

et al. 2015

2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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Abstract-Spectrum Sensing (SS) is one of the fundamental mechanisms required by a Cognitive Radio (CR). Among several SS techniques, cyclostationary feature detection is considered as an important technique due to its robustness against noise variance uncertainty and its capability to distinguish among different systems on the basis of their cyclostationary features. However, one of the main limitations of this detector in practical scenarios is its performance degradation in the presence of cyclic frequency mismatch, which mainly arises due to the lack of knowledge about the transmitter clock/oscillator errors at the detector. In this context, this paper proposes a novel solution to address the cyclic frequency mismatch problem utilizing the Slepian basis expansion instead of the widely used Fourier basis expansion. It is shown that the proposed approach captures the deviation in the cyclic frequency caused by the aforementioned imperfections and hence provides a significant improvement in the sensing performance in the presence of cyclic frequency mismatch.

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A robust adaptive sensor array with Slepian sequences

Cited by 8 publications

References 5 publications

Robust adaptive beamforming for surveillance system using 2D antenna array

Robust adaptive beamforming for surveillance system using 2D antenna array

An Analysis of Achievable Highest SLL in Moderate Phased Arrays with Quantized Control

Improving robustness of cyclostationary detectors to cyclic frequency mismatch using Slepian basis

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