Estimation of channel parameters in a multipath environment via optimizing highly oscillatory error functions using a genetic algorithm

Ebrahimi, A.; Rahimian, Ardavan

doi:10.1109/softcom.2007.4446112

Cited by 6 publications

(4 citation statements)

References 9 publications

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“…where in the relation (14), S[q k ] and R[q k ] are the timedelay samples that lie above the specified terrestrial wireless system time-delay estimation threshold.…”

Section: Terrestrial Tde Modeling and Analysismentioning

confidence: 99%

“…Multipath causes a single transmitted signal originnating from a source to arrive at a receiver via two or more different paths along with any combination of several distinct unequal length paths. These extra paths at a receiver can be synchronized with the mean scaling of the most dominant path and all the others are treated as the noise; then possible equalization strategies can be employed to improve the receiver system performance [14,15]. It is assumed that the transmitted radio signal and the number of paths in the multipath environment are known.…”

Section: Introductionmentioning

confidence: 99%

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Analytical Evaluation of Space-Time M-QAM Signaling and Time-Delay Estimation in Multipath Terrestrial Communications

Rahimian¹

2013

JCC

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This paper presents novel information-theoretic PHY layer performance improvement for combating the system fading effects in wireless terrestrial communication applications. Robust space-time system strategies in cooperation with the high performance unpunctured serially concatenated codes have been jointly employed. The wireless terrestrial system also uses M-ary quadrature amplitude modulation (QAM) signaling to develop a well-established system modeling for multiple-input single-output (MISO) and multiple-input multiple-output (MIMO) analysis. This research also undertakes the analytical evaluation of time delay estimation in the presence of additive white Gaussian noise (AWGN) in multipath areas. The objective of this investigation is to develop mathematically-oriented estimations intended for a suitable employment in terrestrial communications. This model considers the problem of overlapping the terrestrial signals arrival-times estimation from a noisy received waveform in order to develop a system model for terrestrial TDE. -input multiple-output (MIMO) systems. These systems are operating in the statistical wireless terrestrial communications propagation environment. Hence, terrestrial reliable wireless system deployment is necessary in order to provide highly accurate and efficient services, and is also of crucial importance for modern wireless technologies. The enormous growth in terrestrial communications and with the increasing demand for the highperformance services raise the need for systems analysis and planning for the intended environments to evaluate

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“…where in the relation (14), S[q k ] and R[q k ] are the timedelay samples that lie above the specified terrestrial wireless system time-delay estimation threshold.…”

Section: Terrestrial Tde Modeling and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analytical Evaluation of Space-Time M-QAM Signaling and Time-Delay Estimation in Multipath Terrestrial Communications

Rahimian¹

2013

JCC

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“…The genetic algorithm (GA) [4] is the simplest EA applicable to several wireless communications problems, including joint channel and data estimation [5], user detection [6], and joint user detection and channel estimation [7], [8]. In terms of estimating wireless channel parameters, GA was used to estimate parameters in a multipath environment in [9], and has shown superior performance compared to traditional numerical methods for estimating Weibull parameters in [10]. Recent studies have also demonstrated the effectiveness of EAs in parameter estimation for α-κ-µ fading channels [11].…”

Section: Introductionmentioning

confidence: 99%

Channel Parameter Estimation in Millimeter-Wave Propagation Environments Using Genetic Algorithm

Gomes,

Simmons,

Sofotasios

et al. 2024

Antennas Wirel. Propag. Lett.

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This paper explores the suitability of the natureinspired Genetic Algorithm (GA) for estimating propagation channel parameters in an indoor millimeter-wave environment at 60 GHz. Our work is based on real propagation channel measurements and the goal is two-fold: i) to estimate physically plausible parameters, and ii) to provide improvements in terms of the goodness-of-fit when compared to traditional methods such as Nonlinear Least-Squares (NLS). To better contextualize the use of the GA within the meta-heuristic family of algorithms, a more recent meta-heuristic approach, named Hybrid Grey Wolf and Whale Optimization Algorithm (HGW-WOA), is also exercised. We adopt popular small-scale and shadowed fading models which accurately characterize these mm-wave links. A total of 72 fading scenarios are investigated. The goodness-of-fit of these models, using different parameter estimation methods, is assessed through the Akaike Information Criterion. Our investigation has shown that the GA overwhelmingly outperformed the NLS. Similarly, the GA performed better than the HGW-WOA in the majority of scenarios. Thus, we demonstrate that the GA is a promising technique for the robust estimation of fading parameters.

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“…determination of multipaths directions of arrival (DOA). In [8], the authors resort to GA-based optimization to find the channel parameters such as multipath attenuations and delays. Recently, GA has been used to find good antenna element positions in sparse MIMO radar arrays [9] by minimizing the side-lobes of the radar pattern.…”

Section: Introductionmentioning

confidence: 99%

A Heuristic Approach to Antenna Array Topology Optimization in MIMO Systems

Binelo¹,

Almeida²,

Cavalcanti³

2011

Anais De XXIX Simpósio Brasileiro De Telecomunicações

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Resumo-Este artigo discute o projeto de sistemas de múltiplas entradas e múltiplas saídas (MIMO) de antenas e propõe um algoritmo genético para obter a posição e orientação de cada antena do arranjo MIMO que maximiza a capacidade ergódica para um dado cenário de propagação. Nossos resultados mostram que o efeito do acoplamento eletromagnético pode ser explorado pelo otimizador para diminuir a correlação do sinal aumentando a capacidade. Tambémé feita uma comparação entre arranjos lineares uniformes (ULA), arranjos circulares uniformes (UCA) e o arranjo otimizado pelo algoritmo genético.

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Estimation of channel parameters in a multipath environment via optimizing highly oscillatory error functions using a genetic algorithm

Cited by 6 publications

References 9 publications

Analytical Evaluation of Space-Time M-QAM Signaling and Time-Delay Estimation in Multipath Terrestrial Communications

Analytical Evaluation of Space-Time M-QAM Signaling and Time-Delay Estimation in Multipath Terrestrial Communications

Channel Parameter Estimation in Millimeter-Wave Propagation Environments Using Genetic Algorithm

A Heuristic Approach to Antenna Array Topology Optimization in MIMO Systems

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