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.
GRCRT(Generalized Robust Chinese Remainder Theorem) allows to reconstruct multiple numbers when all the moduli have a common factor and all residue sets have errors. In this paper, we propose a new approach based on GRCRT to joint estimation of chirp rates, initial frequencies and DOAs (direction of arrivals) for multiple LFM(linear frequency modulation) signals with sub-Nyquist spatial-temporal sampling...
An accurate direction-of-arrival (DOA) estimation algorithm is proposed with a uniform linear array (ULA) when coherent and uncorrelated signals coexist. By selecting the rank from the covariance matrix of array output, we first reconstruct a Toeplitz matrix so as to achieve the objective of decorrelation similar to reference [2]. And then we proposed a spectrum of improved MUSIC (named as SI-MUSIC)...
In order to estimate the parameters of multi Frequency-Hopping(FH) signals in the condition of non-cooperation and overcome the bottleneck of huge data processing, a parameter estimation method based on compressive saptial time-frequency joint analysis is proposed. First the arbitrary compressive array structure is analyzed, then based on this structure we propose a method to estimate the direction...
This work compares the resolution of a pressure and vector sensor based conventional Bartlett estimator, with their MVDR estimator counterparts, in the context of bottom characterization with a short vertical array. Santos et al. [1] demonstrated the gain of a vector sensor array (VSA) based linear estimator (Bartlett) for generic parameter estimation. Moreover, it was shown that for bottom characterization...
In this paper, we propose a new class of lower bounds on the mean-squared error (MSE) in non-Bayesian constrained parameter estimation. The new class includes lower bounds on the MSE of any constrained-unbiased estimator, where the constrained-unbiasedness is defined for the first time using the Lehmann-unbiasedness. The proposed class of constrained lower bounds is derived by employing Cauchy-Schwarz...
MIMO transmission technologies have been investigated and are expected to realize the wide-band and high-speed radio communication in LTE and IMT-A systems. To put those technologies into practical use, the accurate MIMO channel is required. To estimate the propagation parameters of rays from the channel data measured by the channel sounder, the SAGE based estimation algorithms have been used. SAGE...
In previously published work [1] we presented a real-time electrochemical impedance biosensor prototype system and a state-space estimation algorithm for signal quantification. Experiments in the interim have revealed some algorithm failure modes which reduced the reliability and repeatability of quantification. The present work describes a related algorithm that introduces constraints based on a...
Incorporating the time-frequency (t-f) distribution of narrow-band near-field sources, a novel subspace-based method with orthogonal symmetry array for 3-D (azimuth-elevation-range) parameters estimation is introduced in this paper. Considering the t-f signature of one source, we derived the t-f distribution matrices by adopting whose subspaces rotation invariance to find the 3-D parameters estimation...
The method of interval estimation (MIE) provides a strategy for mean squared error (MSE) prediction of algorithm performance at low signal-to-noise ratios (SNR) below estimation threshold where asymptotic predictions fail. MIE interval error probabilities for the Capon algorithm are known and depend on the true data covariance and assumed signal array response. Herein estimation of these error probabilities...
In previous work we considered the problem of estimating target location parameters using an adaptive sensing paradigm, wherein one attempts to choose the most informative measurement from a set of possibilities characterized by a linear measurement matrix. Here we extend that work to target tracking. At each step in a discrete-time Bayesian filter, a measurement matrix is chosen to illuminate in...
Since wireless communications began to take an abrupt rise, with the development of techniques which were introduced for the growth of data transfer, antenna systems were considered to be the ideal choice to obtain the wanted results. Nevertheless these techniques required the development of certain algorithms also, to facilitate the recognition of the signals at the reception side (direction of arrival...
We propose a new algorithm for parameter estimation that is applicable when many array are used to detect the incoming signals. This adaptive beamformer can be used in applications, most notably radio-astronomy and synthetic aperture array, where moving arrays are used for measuring the incoming signals. We demonstrate a significant improvement in performance compared with currently used methods for...
Existing sensor array signal processing techniques always use linear arrays sampled at Nyquist rate which demands the inter-element spacing is less than or equal to half of the system wavelength. Only in this way can algorithms such as MUSIC, Capon's beamformer estimate the direction-of-arrival (DOA) of the sources unambiguously. However, in some practical use, it seems difficult to satisfy the spatial...
Technique of space-time adaptive processing (STAP), which is usually employed by airborne radar to reject the ground clutter and jamming and at the same time, detect the ground moving targets, can not estimate the spatial-temporal parameters of the corresponding targets. Monopulse technique, as a mature method for parameter estimation can be used on airborne radar, however, the estimation performance...
To estimate parameters from measurements sampled on a multidimensional grid, Parallel Factor Analysis (PARAFAC) based schemes are very appealing, since they are applicable to mixed array geometries, which are a mixture of arbitrary arrays and outer product based arrays. Moreover, for PARAFAC based schemes, errors in some dimensions do not affect the estimation of parameters in the other dimensions...
We propose a new two-stage approach to estimate the central direction-of-arrival (DOA) and angular spread of locally distributed source. In contrast to earlier works, an advantage of this method is that it has decoupled the central DOA and angular spread based on the steering vector which is a Schur-Hadamard product. So the central DOA can be estimated in a preliminary stage, and then angular spread...
The maximum a posteriori penalty function (MAP-PF) approach is applied to tracking the bearing and bearing rate of multiple wideband sources in unknown colored noise. The track estimation problem is formulated directly from the array data using the maximum a posteriori (MAP) estimation criterion. The penalty function (PF) method of nonlinear programming is used to obtain a tractable solution. A sequential...
Recently, the Sequential GSVD (S-GSVD) based prewhitening scheme has been proposed to improve R-dimensional subspace-based parameter estimation schemes in the presence of colored noise or interference with Kronecker structure. To apply the S-GSVD, second order statistics of the noise should be estimated, e.g., via samples captured in the absence of the desired signal components. In this contribution,...
High-resolution parameter estimation techniques have recently been applied to jointly estimate multiple signal parameters. In this paper, we consider the joint frequency and 2-D DOA estimation problem. We define a novel space-time matrix which includes the information of incident frequencies and 2-D DOAs. The joint frequency and 2-D DOA estimation method used the defined space-time matrix is named...
Directional audio coding (DirAC) is an efficient technique to capture and reproduce spatial sound on the basis of a downmix signal and side information, i. e., direction of arrival and diffuseness of the sound field expressed in time-frequency domain. The main drawback of using arrays of omnidirectional microphones to obtain these parameters is that reliable estimates are available only in a certain...
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.