Volume 76, Issue 8 pp. 96-108
Article
Full Access

Adaptive array antenna based on estimation of arrival angles using DFT on spatial domain

Choonsik Yim

Choonsik Yim

Member

Faculty of Engineering, Yokohama National University, Yokohama, Japan 240

Choonsik Yim: graduated in 1975 from the Dept. of Communication Engineering, Korea Aeronautical Institute, Korea, where he obtained a Master's degree in 1986. In 1989, he entered the doctoral program at Yokohama National University. In 1978, he became a Researcher at Korea Defense Science Research Institute. In 1984, he became a senior researcher at Korea's Electronics and Telecommunication Research Institute. He has been engaged in research on control and security maintenance systems of long-distance communication channel and ISDN operating and maintenance project.

Search for more papers by this author
Ryuji Kohno

Ryuji Kohno

Member

Faculty of Engineering, Yokohama National University, Yokohama, Japan 240

Ryuji Kohno: graduated in 1979 from the Dept. of Information Engineering, Yokohama National University, where he obtained a Master's degree in 1981. In 1984, he obtained a Dr. of Eng. degree from the University of Tokyo. In that year, he became a Lecturer at Toyo University. He was a Visiting Scholar at the University of Toronto in 1984–85 and in 1986 became an Associate Professor at Toyo University. In 1988, he joined the Dept. of Electronics and Information Engineering at Yokohama National University as an Assoc. Professor. He has been engaged in research on coding series, adaptive digital signal processing, spread spectrum communication system, and network reliability. He translated the book Noise Removal and Signal Regeneration in Electronic Measurement Equipment and is the author of Foundation and Applications of Spread Spectrum Communication Technology. He is a member of the Institute of Electrical Engineers of Japan; Information Processing Society; Information Theory and Application Society; EURASIP; and IEEE.

Search for more papers by this author
Hideki Imai

Hideki Imai

Member

Faculty of Engineering, Yokohama National University, Yokohama, Japan 240

Hideki Imai: graduated in 1966 from the Dept. of Electronic Engineering, University of Tokyo, where he obtained a Dr. of Eng. degree in 1971. In that year, he became a Lecturer at Yokohama National University where he was promoted to an Associate Professor in 1972 and to Professor in 1984. He has been engaged in research on coding theory and its applications, information security, spread spectrum system, data compression, mobile communication, and digital signal processing. In 1975 and 1990, he received Best Paper Awards. In 1988, he was Chairman of Information Security Research Committee of I.E.I.C.E. In 1989, he was Chairman of Information Theory Research Committee of I.E.I.C.E. He is the author of Coding Theory (Shoko-do); Information Mathematics (Shoko-do); Theory of Information and Coding (Iwanami Publ.), Information Theory (Shoko-do); Coding Theory (I.E.I.C.E.); and Essentials of Error-Control Coding Techniques (Academic Press). He is on the Board of the International Cryptography Society and Japan Security Management Society and is a member of the Institute of Electrical Engineers of Japan; Information Processing Society; Television Society; and the Information Theory and Application Society. He is an IEEE Fellow.

Search for more papers by this author
First published: 1993
Citations: 3

Abstract

Multipath fading is a factor degrading the communication quality in mobile communications. It has been reported that an adaptive array antenna can enable elimination of the effect of delayed signals by an appropriate control of the radiation pattern. In this paper, it is recognized that an optimum weight of the array antenna can be computed if the direction of arrival and the signal-to-noise ratio of the received signal are known. By using the spatial frequency derived by the discrete Fourier transform (DFT) of the received signal which is spatially sampled by the array antenna, an algorithm is proposed in which the directions of arrival and the signal-to-noise (SN) ratio of the desired and interference waves are estimated and an optimum weight coefficient of the antenna is computed. This algorithm is different from those in the conventional adaptive digital filter algorithms such as the LMS algorithm. It requires no reference signal and can follow quickly changes in the communication channel. Further, a method is proposed to improve the estimation accuracy of the direction of arrival and the SN ratio with a limited number of elements by using the property of the DFT. To confirm the principle of the proposed algorithm, the basic characteristics are evaluated by computer simulation.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.