The performance of radio direction finding systems mainly depends on kind of antenna array and signal processing algorithms. In this paper, a Robust radio direction finding system using Nested Antenna Array (NAA) based on Total Forward – Backward Matrix Pencil (TFBMP) method is proposed. | Journal of Science & Technology 128 (2018) 026-031 Robust Radio Direction Finding System Using Nested Antenna Array Based on Total Forward – Backward Matrix Pencil Algorithm Han Trong Thanh*, Nguyen Duc Moi, Vu Van Yem Hanoi University of Science and Technology – No. 1, Dai Co Viet Str., Hai Ba Trung, Ha Noi, Viet Nam Received: March 27, 2018; Accepted: May 25, 2018 Abstract The performance of radio direction finding systems mainly depends on kind of antenna array and signal processing algorithms. In this paper, a Robust radio direction finding system using Nested Antenna Array (NAA) based on Total Forward – Backward Matrix Pencil (TFBMP) method is proposed. By inheriting advantages of both NAA and TFPMP. Therefore, the proposed system can estimate more number of incoming signals than the number of antenna element with only one snapshot. This mean that system size and the sampling frequency in real time receivers can be considerably reduced. The simulation results for DOA estimation using proposed system will be assessed and analyzed to verify its performance. Keywords: Direction of Arrival (DOA), Nested Antenna Array (NAA), TFBMP. 1. Introduction vectorizing the covariance matrix of the received signals at each antenna element. Radio Direction Finding (DF) systems have many applications in Radio Navigation, Emergency Aid and intelligent operations, etc. The most important information that estimated by the Radio Direction Finding (DF) system is the Direction of Arrival (DOA) of the incoming signals. * In [4-6], Matrix Pencil (MP) algorithm was applied to calculate the DOA information. The achieved results proved that it is can be considered as a high – resolution technique for DOA estimation. This algorithm directly processed the independent data samples. Therefore, it consumes less processing power and is faster executed than the other super – resolution methods for DOA estimation such as MUSIC [7], ESPRIT [8] which generally must calculate the signal .
