The search functionality is under construction.

Keyword Search Result

[Keyword] log-normal distribution(4hit)

1-4hit
  • Performance of APD-Based Amplify-and-Forward Relaying FSO Systems over Atmospheric Turbulence Channels

    Thanh V. PHAM  Anh T. PHAM  

     
    PAPER-Communication Theory and Signals

      Vol:
    E99-A No:7
      Page(s):
    1455-1464

    This paper proposes and theoretically analyzes the performance of amplify-and-forward (AF) relaying free-space optical (FSO) systems using avalanche photodiode (APD) over atmospheric turbulence channels. APD is used at each relay node and at the destination for optical signal conversion and amplification. Both serial and parallel relaying configurations are considered and the subcarrier binary phase-shift keying (SC-BPSK) signaling is employed. Closed-form expressions for the outage probability and the bit-error rate (BER) of the proposed system are analytically derived, taking into account the accumulating amplification noise as well as the receiver noise at the relay nodes and at the destination. Monte-Carlo simulations are used to validate the theoretical analysis, and an excellent agreement between the analytical and simulation results is confirmed.

  • A Log-Normal Distribution Model for Electron Multiplying Detector Signals in Charged Particle Beam Equipments

    Mitsuru YAMADA  Akinori NISHIHARA  

     
    PAPER-General Fundamentals and Boundaries

      Vol:
    E86-A No:12
      Page(s):
    3276-3282

    We propose a stochastic model for signals generated through the electron multiplying effect of detectors in charged particle beam equipments. This model is based on a stochastic variable characterized by a log-normal type distribution. The model is simple and can be used to represent a wide dynamic range of signals from pulse-like signals when the primary beam current is small to continuous signals when the primary beam current is large. For the model base reference a normalization of actual signal detectors is presented. This base reference yields the unique stochastic parameter used in our model. The proposed model better approximates the actual signals in the power spectrum distribution as compared to the filtered Poisson method presented elsewhere.

  • On the Capacity and Outage Probability of a CDMA Hierarchical Mobile System with Perfect/Imperfect Power Control and Sectorization

    Jie ZHOU  Yoshikuni ONOZATO  Ushio YAMAMOTO  

     
    PAPER

      Vol:
    E82-A No:7
      Page(s):
    1161-1171

    Hierarchical macrocell/microcell architectures have been proposed for future cellular mobile communication. The performance analysis for the hierarchical cellular system becomes an important issue. In this paper, extending the analytical methods from[1][2][8], assuming that the imperfect power control follows log-normal statistics, and employing different attenuation models for macrocells and microcells, the capacity plane and outage probability of the system are examined and quantified with and without perfect sectorization. From the numerical results of parameters of IS-95 protocol, the high user capacity and lower outage probability may be expected in the case of relatively tight power control and narrower overlap between sectors. These results are compared with the previously published CDMA nonhierarchical cellular system estimation. When we employ the hierarchical cellular system, we can increase the user capacity 2.3 times with the same bandwidth 1.25 MHz than the one of the nonhierarchical cellular system.

  • Amplitude Statistics of Sea Clutter Using an X-Band Radar

    Yoshihiro ISHIKAWA  Matsuo SEKINE  Manami IDE  Mami UENO  Shogo HAYASHI  

     
    PAPER-Electronic and Radio Applications

      Vol:
    E76-B No:7
      Page(s):
    784-788

    Sea clutter was measured using an X-band radar at very high grazing angles between 8.2 and 17.5. The sea state was 7 with the wave height of 6 to 9m. The wind velocity was 25m/s. It is shown that sea clutter amplitudes obey the log-normal and K distributions using the Akaike Information Criterion (AIC) , which is more rigorous fit to the distribution to the data than the least squares method.