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Sökning: WFRF:(Taghavi Ehsan 1987)

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1.
  • Cosmas, John, et al. (författare)
  • Towards joint communication and sensing (Chapter 4)
  • 2023
  • Ingår i: Towards Sustainable and Trustworthy 6G: Challenges, Enablers, and Architectural Design. - 9781638282396 ; , s. 121-158
  • Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
    • Localization of user equipment (UE) in mobile communication networks has been supported from the early stages of 3rd generation partnership project (3GPP). With 5th Generation (5G) and its target use cases, localization is increasingly gaining importance. Integrated sensing and localization in 6th Generation (6G) networks promise the introduction of more efficient networks and compelling applications to be developed.
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2.
  • Taghavi, Ehsan, 1987, et al. (författare)
  • Adaptive Stopping for Fast Particle Smoothing
  • 2013
  • Ingår i: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. - : IEEE. - 1520-6149. - 9781479903566 ; , s. 6293-6297
  • Konferensbidrag (refereegranskat)abstract
    • Particle smoothing is useful for offline state inference and parameter learning in nonlinear/non-Gaussian state-space models. However, many particle smoothers, such as the popular forward filter/backward simulator (FFBS), are plagued by a quadratic computational complexity in the number of particles. One approach to tackle this issue is to use rejection-sampling-based FFBS (RS-FFBS), which asymptotically reaches linear complexity. In practice, however, the constants can be quite large and the actual gain in computational time limited. In this contribution, we develop a hybrid method, governed by an adaptive stopping rule, in order to exploit the benefits, but avoid the drawbacks, of RS-FFBS. The resulting particle smoother is shown in a simulation study to be considerably more computationally efficient than both FFBS and RS-FFBS.
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