Joint Direction of Arrival and amplitude estimation using Particle Swarm Optimization and a single snapshot

Errasti-Alcala, Borja; Escot-Bocanegra, David; Martínez, David Poyatos; Jurado-Lucena, Antonio; Fernández-Recio, R.

doi:10.1109/cefc.2010.5481660

Cited by 4 publications

(2 citation statements)

References 4 publications

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“…becoming popular because of its simplicity and is applied to estimate the DOAs and powers for array signal processing [6][7][8]. Where each particle is a solution for a problem.…”

Section: B Pso Algorithmmentioning

confidence: 99%

Power and DOA estimation for array processing using particle swarm optimization

Zhao

Yang

et al. 2011

2011 International Conference on Computational Problem-Solving (ICCP)

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To increase the capacity of mobile communications, it is important to accurately estimate the power and the direction of arrival (DOA) of source. An efficient algorithm is proposed for this purpose. A cost function is optimized by using the particle swarm optimization (PSO). To accelerate the convergence of the fitness function of PSO, the inertia weights of particles are different from each other and are updated according to the values of fitness. The simulation results show that the proposed algorithm not only can be applied at the case that MUltiple SIgnal Classification (MUSIC) algorithm is useful, but also at the case that MUSIC is not useful, for example, when the number of signal sources is greater than or equal to the number of the elements of the array. It can simultaneously estimate the DOAs and powers of signals accurately.

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“…becoming popular because of its simplicity and is applied to estimate the DOAs and powers for array signal processing [6][7][8]. Where each particle is a solution for a problem.…”

Section: B Pso Algorithmmentioning

confidence: 99%

Power and DOA estimation for array processing using particle swarm optimization

Zhao

Yang

et al. 2011

2011 International Conference on Computational Problem-Solving (ICCP)

View full text Add to dashboard Cite

show abstract

“…Compressive sensing frameworks have also been employed for single snapshot DOA estimation [9]. In this paper, Particle Swarm Optimization (PSO) is combined with the MUSIC spectrum function for DOA estimation in low signal-to-noise ratio (SNR) environments [13,14].…”

Section: Introductionmentioning

confidence: 99%

Enhanced Single-Snapshot 1-D and 2-D DOA Estimation Using Particle Swarm Optimization

Lakumalla,

Kumar

2023

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In radar applications, target range, velocity (Doppler), and angle are the three primary measurements employed. Estimating the number of targets and their directions of arrival (DOAs) on the antenna array can be achieved through various methods. Conventional techniques such as the correlation and Multiple Signal Classification (MUSIC) algorithms offer a straightforward approach for DOA estimation. However, these methods necessitate an exhaustive search of the entire spectrum and require numerous temporal snapshots to accurately identify the spatial spectrum peaks. To address this challenge, Particle Swarm Optimization (PSO)-correlation and PSO-MUSIC methods have been proposed. These PSO-based techniques provide a systematic approach to locate the spatial spectrum peak in both one-dimensional (1-D) and two-dimensional (2-D) scenarios. In order to determine the exact target position, the global best particle location is iteratively updated by these methods. The statistical performance of the 1-D and 2-D PSO-correlation and PSO-MUSIC algorithms demonstrates that these techniques exhibit higher accuracy in comparison to existing single-snapshot DOA estimation methods. The estimation performance of the proposed algorithms is analyzed and justified by employing the Cramé r-Rao bound (CRB).

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On the use of Particle Swarm Optimization for single snapshot DOA and frequency estimation

Errasti-Alcala

Fernández-Recio

2012

2012 6th European Conference on Antennas and Propagation (EUCAP)

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Joint Direction of Arrival and amplitude estimation using Particle Swarm Optimization and a single snapshot

Cited by 4 publications

References 4 publications

Power and DOA estimation for array processing using particle swarm optimization

Power and DOA estimation for array processing using particle swarm optimization

Enhanced Single-Snapshot 1-D and 2-D DOA Estimation Using Particle Swarm Optimization

On the use of Particle Swarm Optimization for single snapshot DOA and frequency estimation

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