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[Author] Atsushi HONDA(4hit)

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  • Recent Activities of Japanese Microwave Industry Open Access

    Koji YAMANAKA  Yasunori SUZUKI  Shoichi NARAHASHI  Takaya WADA  Makoto KAWASHIMA  Ken TAKEI  Kazutaka TAKAGI  Atsushi HONDA  Zhengyi LI  Liang ZHOU  Yoji OHASHI  Wataru HATTORI  Yusuke TAKAHASHI  

     
    INVITED PAPER

      Vol:
    E98-C No:7
      Page(s):
    621-629

    This invited paper is dedicated to introduce recent activities of Japanese microwave industries. 7 topics are introduced from major microwave companies in Japan. All topics are from invited talks in 2014 Asia-Pacific microwave conference (APMC2014) held in Sendai, November, 2014.

  • A Bisection Method-Based Controlling Scheme for Phased Array Antenna with Slow Switching Speed-Phase Shifters

    Quoc Tuan TRAN  Shinsuke HARA  Atsushi HONDA  Yuuta NAKAYA  Ichirou IDA  Yasuyuki OISHI  

     
    PAPER-Wireless Communication Technologies

      Vol:
    E91-B No:5
      Page(s):
    1557-1567

    Phased array antennas are attractive in terms of low cost and power consumption. This paper proposes a controlling scheme based on a bisection method for phased array antennas employing phase shifters with slow switching speed, which is typical for Micro Electro Mechanical Systems (MEMS) switches. Computer simulation results, assuming the IEEE 802.11a Wireless Local Area Network (WLAN) standard, show that the proposed scheme has good gain enhancement capability in multipath fading channels.

  • Six-Port Direct Conversion Receiver: Novel Calibration for Multi-Port Nonlinear Circuits

    Atsushi HONDA  Kei SAKAGUCHI  Jun-ichi TAKADA  Kiyomichi ARAKI  

     
    PAPER-Components and Devices

      Vol:
    E87-C No:9
      Page(s):
    1532-1539

    An RF front-end using a six-port circuit is a promising technology for realization of a compact software defined radio (SDR) receiver. Such a receiver, called a six-port direct conversion receiver (DCR), consists of analog circuit and digital signal processing components. The six-port DCR itself outputs four different linear combinations of received and local signals. The output powers are measured at each port, and the received signal is recovered by solving a set of linear equations. This receiver can easily cover a wide frequency band unlike the conventional DCR since it does not require the precise orthogonality that the conventional one does. In this paper, we propose a novel calibration method for a six-port system that includes nonlinear circuits such as diode detectors. We demonstrated the demodulation performance of a six-port DCR by computer simulation and experiments at 1.9, 2.45, and 5.85 GHz.

  • Proposal of Receive Antenna Selection Methods for MIMO-OFDM System

    Quoc Tuan TRAN  Shinsuke HARA  Kriangsak SIVASONDHIVAT  Jun-ichi TAKADA  Atsushi HONDA  Yuuta NAKAYA  Kaoru YOKOO  Ichirou IDA  Yasuyuki OISHI  

     
    PAPER-Wireless Communication Technologies

      Vol:
    E91-B No:2
      Page(s):
    505-517

    The combination of Multiple-Input Multiple-Output (MIMO) and Orthogonal Frequency Division Multiplexing (OFDM) technologies gives wireless communications systems the advantages of lower bit error rate (BER) and higher data rate in frequency-selective fading environments. However, the main drawbacks of MIMO systems are their high complexity and high cost. Therefore, antenna selection in MIMO systems has been shown to be an effective way to overcome the drawbacks. In this paper, we propose two receive antenna selection methods for a MIMO-OFDM system with radio frequency (RF) switches and polarization antenna elements at the receiver side, taking into consideration low computational complexity. The first method selects a set of polarization antenna elements which gives lower correlation between received signals and larger received signal power, thus achieves a lower BER with low computational complexity. The second method first selects a set of polarization antenna elements based on the criterion of the first method and another set of polarization antenna elements based on the criterion of minimizing the correlation between the received signals; it then calculates the signal-to-interference-plus-noise power ratio (SINR) of the two sets and selects a set with larger SINR. As a result, the second method achieves a better BER than the first one but it also requires higher computational complexity than the first one. We use the measured channel data to evaluate the performance of the two methods and show that they work effectively for the realistic channel.