Multipath Suppression for Continuous Wave Radar via Slepian Sequences

Day, Brian P.; Evers, Aaron; Hack, Daniel E.

doi:10.1109/tsp.2020.2964199

Cited by 12 publications

(9 citation statements)

References 25 publications

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“…In this case generalized prolate spheroidal functions [9] is the solution instead of DPSWF. Even better, some clever work on the definite integral in (21) shall solve it allowing doing all calculations in the angular domain that reflects the real physical space. Extension of the work to a uniform planar array (UPA) can be found in [1], [2].…”

Section: Conclusion and Research Extensionsmentioning

confidence: 99%

“…The remarkable properties of the functions make them attractive in communications and signal processing. Many works utilized the functions for waveform design [12], [13], channel estimation [14]- [16], signals sampling/recovery [17]- [20], and radar [21], [22]. For digital BF [23] investigated usage of Discrete Prolate Spheroidal Sequence (DPSS) in the generalized sidelobe canceller (GSC), and [24], [25] employed Slepian optimization to reduce sidelobes of spherical acoustic arrays.…”

Section: Introductionmentioning

confidence: 99%

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A New Array Synthesizer Based on Slepian Functions

Sharkas¹

2022

Preprint

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Section: Conclusion and Research Extensionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A New Array Synthesizer Based on Slepian Functions

Sharkas¹

2022

Preprint

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“…As funções identificadas como discrete prolate spheroidal sequences (DPSS), ou sequências esferoidais prolatas discretas, são calculadas. A DPSS é um conjunto de funções que melhoram esses estreitamentos (Slepian, 1978;Day et al, 2020). Elas são definidas como vetores próprios de um problema de minimização de Rayleigh-Ritz (Gould, 1995).…”

Section: Análise Global Caóticaunclassified

Efeitos do Treinamento Autógeno sobre a variabilidade da frequência cardíaca na perspectiva dos índices não lineares

Silva

Monteiro

Ferreira

et al. 2022

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Objetivo: O presente estudo pretendeu analisar os efeitos de uma técnica de relaxamento denominada treinamento autógeno, na variabilidade da frequência cardíaca não linear, com a hipótese de que o relaxamento em questão é capaz de promover maior sinergismo entre o sistema nervoso simpático e o parassimpático, evitando assim altos níveis de estresse e complicações futuras. Métodos: Foi realizado um estudo clínico controlado, não randomizado, aberto e transversal, com 19 participantes que realizaram uma única sessão de treinamento autógeno. Resultados: Os resultados mostram que ambos os grupos (experimental e placebo) tiveram valor de p<0,05 e às vezes marginalmente significativo. Essa consequência instiga a seguinte questão: o treinamento autógeno proporciona um estado de relaxamento apenas em razão do efeito placebo? Conclusão: De acordo com o estudo, conclui-se que durante o treinamento autógeno não houve aumento na resposta caótica, além de não haver melhora no sinergismo entre o sistema nervoso simpático e o parassimpático.

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“…The DPSS has a wide range of classical signal processing applications [32]- [38]. Compressive sensing [33], parametric waveform and detection of extended targets [34], wall clutter mitigation and target detection [35], design of baseband receivers [36], fiber bragg grating (FBG) sensors for optical sensing systems [37], and multipath suppression for continuous waves [38] are just few examples.…”

Section: Introductionmentioning

confidence: 99%

Prototype Filter for QAM-FBMC Systems Based on Discrete Prolate Spheroidal Sequences (DPSS)

et al. 2022

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In conventional wireless communications, cyclic-prefix orthogonal frequency division multiplexing (CP-OFDM) has been adopted as the baseline multicarrier scheme. Despite its corroborated merits, they are explored only in a synchronous and strictly orthogonal scenario. To overcome the limitations observed in CP-OFDM, to support the constraints imposed by different 5G scenarios, and also to improve robustness against channel impairments, several waveforms have been investigated. Quadrature amplitude modulation associated to filter-bank multicarrier (QAM-FBMC) has been an auspicious technology for 5G communication systems and beyond. The main feature of QAM-FBMC is its capacity of high spectral confinement, which is possible thanks to the per-subcarrier filtering. Aiming to improve the QAM-FBMC performance, in this paper, we propose a prototype filter design based on the discrete prolate spheroidal sequences (DPSS), also known as Slepian sequences. The presented filters were obtained by optimizing the weights that are used to compose the desired prototype filter in such an extent that they minimize the intrinsic interference of the system. At the same time, these weights keep spectral confinement of the filter for a previously determined bandwidth limitation. Simulation results show that the optimized filters achieve higher intrinsic interference attenuation than the competitors. Indeed, we can confirm the improvement in the system performance brought by the usage of the optimized filters through the bit error rate (BER) evaluation. Furthermore, the proposed method is flexible thanks to the suitability of its parameters.INDEX TERMS Filter-bank multicarrier, QAM-FBMC, wireless communication, 5G, prototype filter deign, DPSS, Slepian functions.

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Multipath Suppression for Continuous Wave Radar via Slepian Sequences

Cited by 12 publications

References 25 publications

A New Array Synthesizer Based on Slepian Functions

A New Array Synthesizer Based on Slepian Functions

Efeitos do Treinamento Autógeno sobre a variabilidade da frequência cardíaca na perspectiva dos índices não lineares

Prototype Filter for QAM-FBMC Systems Based on Discrete Prolate Spheroidal Sequences (DPSS)

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