In this paper, reduction of angle-of-arrival (AOA) estimation error owing to amplitude and phase perturbation in the array response using spatial smoothing preprocessing (SSP) is proposed. The performance improvement of the proposed method is validated by Monte-Carlo simulation. To show applicability of the proposed method in practice, it was applied to estimate AOAs of measured data obtained i...

Dear Editor, This paper is concerned with the underwater localization based on acoustic signals. Specifically, we will focus search of an target that can constantly broadcast a beacon signal, such as black box. Common measurements for are Doppler shift [1], time arrival (ToA) [2]–[4], difference (TDoA) [5], [6], angle (AoA) [7], etc. In this investigate fundamental limits shift-Based, ToA-Based...

Abstract This paper introduces a review article on indoor localization techniques and technologies. The starts with current systems summarizes comparisons between these in terms of accuracy, cost, advantages, disadvantages. Also, the presents different detection compare them accuracy cost. Finally, methods algorithms, including angle arrival (AOA), time (TOA), recived signal strength (RSS) are ...

Channel estimation is of critical importance in millimeter-wave (mmWave) multiple-input multipleoutput (MIMO) systems. Due to the use of large antenna arrays, low-complexity mmWave specific channel estimation algorithms are required. In this paper, an auxiliary beam pair design is proposed to provide high-resolution estimates of the channel’s angle-of-departure (AoD) and angle-of-arrival (AoA) ...

A radio direction finding (DF) system is an antenna array and a receiver arranged in a combination to determine the azimuth angle of a distant emitter. Basically, all DF systems derive the emitter location from an initial determination of the angle-of-arrival (AOA). Radio direction finding techniques have classically been based on multiple-antenna systems employing multiple receivers. Classic t...

To solve the complex beam alignment issue in non-line-of-sight (NLOS) millimeter wave communications, this paper presents a deep neural network (DNN) based procedure to predict angle of arrival (AOA) and departure (AOD) both terms azimuth elevation, i.e., AAOA/AAOD EAOA/EAOD. In order evaluate performance proposed under practical assumptions, we employ trajectory prediction method by considerin...

| Estimating the Skew Angle in text document images can be a crucial problem in Optical Character Recognition. Based on a new sensor array processing technique, an original solution to Skew Angle Estimation (SAE) is proposed. Thanks to the reformulation of the SAE problem in the framework of Angle of Arrival theory, a fast and accurate method is presented, that is based on the cooperation of tw...

In order to solve the problems of high complexity and absence adaptability with joint estimation for time delay (TD) angle arrival (AOA) in coherent multipath environments, a fast algorithm based on orthogonal frequency division multiplexing (OFDM) technique is proposed. First, we combine OFDM signal characteristics array features obtain extended arrays. Then, channel domain response covariance...

In this paper, we propose a new low-complexity joint estimator of the mean angle of arrival (AoA), the angular spread (AS), and the maximum Doppler spread (DS) for single-input multiple-output (SIMO) wireless channel configurations in a macrocell environment. The non-line-of-sight (NLOS) case is considered. The space-time correlation matrix is used to jointly estimate the three parameters. Clos...

Source localization plays a key role in many applications including radar, wireless and underwater communications. Among various methods, the most popular ones are Time-Of-Arrival (TOA), Time-Difference-Of-Arrival (TDOA), Angle-Of-Arrival (AOA) Received Signal Strength (RSS) based. Since Cramér-Rao lower bounds (CRLB) of these methods depend on sensor geometry explicitly, placement becom...