The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Direction of Arrival (DOA) estimation of signal deals in estimating the direction from where the signal is originating by joint processing the multi-channel signals captured by the array of sensors. This paper presents the comparison between various Direction of Arrival Estimation techniques for the speech signal. Short-Time Fourier Transform (STFT) is used as a tool to transform the time domain signal...
We propose fast direction-of-arrival (DOA) estimation of multiple sources using a single snapshot. This problem arises in many practical applications and is pertinent to automotive radar. Existing beamforming algorithms incur a high computational cost as they usually require significant zero-padding or fail to fully remove the bias that results from the spectral leakage, especially at high signal...
The minimum variance distortionless response beamformer (MVDR) using the direction-of-arrival (DOA) of the source signal as the steering vector for an acoustic vector sensor (AVS) s proposed. The interference reduction performance of the MVDR beamformer under a scenario of one directional interference and different sensor noises is analyzed. The output signal-to-noise ratio (oSNR) and array gain of...
We propose a two stage beamforming technique for localisation of moving target in a passive radar environment. In order to perform localization and tracking in Cartesian plane, in addition to detection in the range Doppler domain, it is necessary to have angle of arrival of target return, which is obtained using beamforming. The beamforming technique can also enhance signal to disturbance ratio. However,...
In bistatic MIMO radar, conjugate ESPRIT exploiting the noncircularity characteristic achieves a higher estimation accuracy and more detectable number of signals, in which all the received signals are noncircular. But it is more realistic that the received signals are coexistence of circular and noncircular signals. Then the conjugate ESPRIT will fail. Therefore, this paper studies the joint direction...
Direction-Of-Arrival (DOA) estimation is one of the most important field in array signal processing. This paper presents a compact Reactance based Uniform Circular Array (RB-UCA) antenna system and a technique to steer nulls using optimized reactances as well as to estimate DOAs. A comparison between optimized and random reactances is presented by finding the array pattern when two interfering signals...
We demonstrate the ability of a passive radar system to monitor a large area of interest by applying advanced multipath clutter cancellation algorithm, spatial beamforming and tracking techniques. The mitigation of clutter disturbance and a two stage beamforming method facilitate real time tracking of small to moderate size targets in real Cartesian domain. The results have been validated through...
The paper is a follow-up to IRS 2015 submission “Multifunction C-Band Radar Development in Poland: Electronically Scanned Array Technology”. We briefly present various research, algorithms and results related to signal processing developed for Polish C-band radars.
Millimeter wave (mm-wave) bands offer vast amounts of unlicensed and unused spectrum that could potentially be utilized by future (5G) wireless systems. Accurate channel characterization at mm-wave bands is required for system design and performance analysis of future 5G communication systems. Knowledge of delay and angle of arrival (AoA) of the incoming multipath components are especially important...
Massive MIMO enables the improvement on the transmission rate without increasing the burden on the signal processing by employing a large number of antennas at a base station (BS). Channel state information (CSI) feedback scheme from terminal stations to BS gives a very large overhead when considering massive MIMO and implicit beamforming (IBF) with the calibration technique as the countermeasures...
The Direction of Arrival (DOA) technology and researches are evolving areas in array signal processing. Biomedicine, sonar, radar, seismology, astronomy communication and earthquake widely use this estimation. We receive an incoming wave by sensing an array or a set of arrays, this sensed wave can be processed to derive many related estimation information of the associated wave. The Direction of arrival...
A communication link between fishing vessels or with the sea shore using Wi-Fi is explored in this paper. For effective communication a high gain antenna is mounted at the sea shore which acts as base station (BS). Although narrow band directional antenna used in the Base Station (BS) ensures the connectivity for a long distance, the coverage will be poor without any steering mechanism, as the antenna...
Uniform linear array is a kind of very important underwater acoustic detection equipment, it mainly divided into two kinds: rigid array and flexible array. Rigid array is the best means to obtain ideal detection result, but the layout and recovery is difficult. Flexible array is used more popular for its easy to operation, but the array shape is difficult to maintain. Shape distortion of the flexible...
This paper proposes a deployment for sparse array in motion and analyzes the estimation performance of the arrival angles. The background of the system model is in underwater environment and the sensors are considered as passive sonars. In order to minimize the number of physical sensors, an algorithm based on space-domain sensor synthesis (SDS) is proposed. Considering the phase shift in the signal,...
In this paper, a compressed sensing based method for beamforming from a single snapshot of an acoustic array is proposed. Firstly, the observation model is presented and then the problem of direction of arrival of acoustic sources estimation is expressed as an optimization problem constrained by signal sparsity. Then a modified orthogonal matching pursuit algorithm is provided to solve this problem...
This paper aims at providing a solution for blind interference threshold estimation in an underlay cognitive network. Unlike the traditional methods that mainly depend on pre-cooperation between primary and secondary users to settle on a predefined threshold. For threshold estimation, blind detection of modulation and signal-to-noise ratio (SNR) are used. For the sake of beamforming, several localization...
By taking advantage of the difference in spatial distribution between underwater sound source and ocean ambient noise, a detector based on bearing estimation variance is proposed. The time delay estimation method is adopted to estimate the bearing of the source, and the test statistics is deduced to evaluate the performance of the detector. The results show that its performance is far superior to...
Online detection of onset of an earthquake and estimation of its epicenter is of paramount importance. Manual analysis is still the final resort to characterize a seismic event and various seismic phases (waves) associated with it. In this paper, an attempt has been made at multi-scale modeling of seismic array signal to automate detection of event onset, estimation of event location and automatic/...
Recent results have revealed that massive multiple-input-multiple-output (MIMO) channels exhibit a sparse structure. In this paper, we leverage this feature into the development of a novel channel estimation algorithm, namely, the Adaptive-Least Absolute Shrinkage and Selection Operator (A-LASSO), in which the sparsifying matrix (dictionary) and the sparse vector are jointly optimized. The key ingredients...
Based on Neighborhood filter, this paper provided a novel subspace pursuit algorithm of compressive sensing for beamforming. After choose the best atom of the dictionary in matching pursuit, Neighborhood filter would find atoms which have a strong relativity larger than a set value. The results obtained this method can avoid overmatching, and get a balance between calculate quantity and the rate of...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.