Robust Direction of Arrival Estimation Using Uniform Circular Antenna Array based on Total Forward - Backward Matrix Pencil Method

Abstract

In this paper, we propose an approach to estimate the Direction of Arrival (DOA) of Radio coherent incoming signals using the Total Forward – Backward Matrix Pencil algorithm (TFBMP). This algorithm works directly on samples of signals impinging on an M – element Uniform Circular Antenna (UCA) array, which has a smaller size as well as larger observation angle in comparison with the Uniform Linear Antenna (ULA) array. Therefore, the correlation between the received signals does not significantly impact on its performance and efficiency. Furthermore, this algorithm can also extract the DOA information with only one snapshot of signal. Simulation results for DOA estimation using the proposed approach for different situations of incoming signals as well as the number of snapshots in the presence of noise will be assessed to verify its performance.

Direction of Arrival Estimation for Coherent Signals’ Method Based on LSTM Neural Network

“…In addition, algorithms are often developed with the assumption that the number of incoming sources is known [5,8,9], which reduces the generality of the problem and is no longer true when applied in practice because the signal received at the antenna array is the total signal of many unknown and unstable incoming sources. Several recent publications have shown that machine learning methods have gradually been applied to solve the problem of DOA estimation.…”

“…ese antenna elements operate in phase with each other to create a unique radiation direction so that the signal sent to the processor is kept in phase and amplitude in comparison with the incoming signal. Furthermore, the ULA antenna array has several advantages over other types of antenna arrays as shown in [3,9].…”

“…ese systems often use antenna arrays such as uniform linear antenna array (ULA), uniform circular antenna array (UCA), and uniform rectangular antenna array (URA) [3]. Many methods and algorithms have been researched and deployed to calculate DOA such as MUSIC [4][5][6][7], ESPRIT [8], total forward-backward matrix pencil [9,10], and acoustic vector sensor [11].…”

DOA Estimation Based on LSTM Neural Network with Uniform Linear Antenna Array

“…Several techniques have been developed in the DOA estimation problem MUSIC [2]- [4], ESPRIT [5], TFBMP [6], [7]. In which, the MUSIC algorithm is an algorithm that has been developed for a long time and has many practical applications.…”

“…These antennas operate in phase with each other to create a unique radiation direction so that the signal sent to the processor is kept in phase and amplitude in comparison with the signal arriving at the antenna system. Furthermore, the ULA antenna array has several advantages over other types of antenna arrays as shown in [1], [6].…”