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In this paper, we present a greedy sensor selection algorithm for minimum variance distortionless response (MVDR) beamforming under a modular budget constraint. In particular, we propose a submodular set-function that can be maximized using a linear-time greedy heuristic that is near optimal. Different from the convex formulation that is typically used to solve the sensor selection problem, the method...
Radio frequency interference (RFI) has becoming a seriously limitation in the retrieval of geophysical parameters from the measurements of microwave radiometers. In this work, a novel RFI localization approach is presented here to improve the computationally complexity by using virtual arrays and direction of arrival (DOA) estimations techniques. The proposed RFI localization method utilizes the underlying...
In order to solve the coherent problem of Orthogonally Matched(OMP) Pursuit algorithm in sparse reconstruction, the feature vector corresponding to large eigenvalue of SVD is constructed by using received data, and two improved methods are proposed. Both methods reconstruct the angle through the feature vector, and can reconstruct the angle information accurately without knowing the number of the...
The simulation of Blind adaptive beamforming using Normalized Constant Modulus Algorithm (NCMA) for the application of smart antenna systems is presented. The significance and basic design of smart antenna in terms of mathematical model is discussed. In this work 16-point QAM (Quadrature Amplitude Modulation) data is considered for simulation, which is one of the preferred modulation formats in design...
This paper addresses the problem of blind source enumeration in the colored and unbalanced noise environment, where the number of sources can be equal to or more than the number of observers. In the proposed algorithm, the Gerschgorin Disk Estimator (GDE) is used as the detection rule and fourth-order cumulant of the observed data is used to estimate Gerschgorins radii. Compared with the minimum description...
This paper proposed a high resolution algorithm using single vector hydrophone based on moving sources passing characteristic measuring system. The algorithm transfers the time domain result of the hydrophones into virtual array with spatial distribution characteristics and specified interval between array elements. With the virtual array, positioning with high resolution can be obtained by the algorithm...
The two-dimensional (2-D) direction-of-arrival (DOA) estimating for non-circular signals in highly real-time situation is addressed. A new algorithm using a single snapshot for 2-D DOA estimating is proposed. Based on the dual parallel uniform linear array (ULA), three equivalent rotationally invariant covariance matrices are constructed using the single snapshot, which are evaluated to generate the...
In this paper, an efficient sparse representation algorithm for direction of arrival (DOA) estimation in a multiple-input multiple-output (MIMO) Radar system is proposed. The proposed method converts the received data into a low-dimensional real-valued one by exploiting the characteristic of MIMO radar system. Then the DOA estimation is realized via the reweighting l1 norm minimization algorithm....
Direction of Arrival (DOA) estimation implies estimating the direction concerning angles of arrival of the received signals by an array of elements. This paper presents a review to a comparative analysis of several DOA estimation algorithms broadly classified into Beamforming (Classical & Capon's) and Subspace-based techniques (Multiple Signal Classification (MUSIC), Minimum Norm and Root-MUSIC)...
The signal processing algorithms are typically described in a high-level programming language. In data-dominated applications, particularly in the multimedia and telecommunication domains, the code of these behavioral specifications is organized in sequences of loop nests; the main data structures are multidimensional arrays. This paper proposes a memory management algorithm for mapping multidimensional...
We consider the problem of estimating the singular vectors of low-rank signal matrices buried in noise in the setting where the singular vectors are assumed to be Kronecker products of three unknown vectors. We propose several algorithms for estimating such singular vectors, which explicitly exploit the Kronecker structure of the underlying vectors. We demonstrate improved estimation accuracy and...
This paper focuses on applying a fourth-order cumulant with spatial smoothing to direction of arrival (DOA) estimation of coherent signals based on a uniform circular array (UCA). We use three types of cumulant matrices in the so-called mode space with spatial smoothing to handle this problem. The DOA estimation performance comparisons of these cumulant matrices with spatial smoothing are shown by...
Despite the fact that Beat detection is a natural process of human perception, computer algorithms have a hard time deciding the presence of a beat. Considering the importance of beats in music, starting with the fact that they give the temporal markup, this Project focuses in the implementation, evaluation and enhancement of some common beat detection algorithms in order to select the one with best...
Direction finding techniques can be applied to a number of military and civilian systems, such as radar, sonar, and radio communications. It aims at finding the Direction of Arrival of an electromagnetic source for positioning purposes. Direction finding systems can be primarily classified as multiple or single channel. The single-channel solution, investigated herein, is based on a switched antenna...
The structures of basis matrices for efficient computation discrete cosine transforms (DCT) using cyclic convolutions for size the integer power of prime is considered. The structures of basis matrices of DCT are presented via the hashing arrays. Interconnection of the structures or hashing arrays of DCT for the sizes the integer power of prime are determined, what are simplified the analysis of the...
In this work, we consider the multiple sound source location estimation and counting problem in a wireless acoustic sensor network, where each sensor consists of a microphone array. Our method is based on inferring a location estimate for each frequency of the captured signals. A clustering approach-where the number of clusters (i.e., sound sources) is also an unknown parameter-is then employed to...
This paper proposes wave-domain adaptive processing for noise cancellation within a large spatial region. We use fundamental solutions of the Helmholtz wave-equation as basis functions to express the noise field over a spatial region and show the wave-domain processing directly on the decomposition coefficients to control the entire region. A feedback control system is implemented, where only a single...
The convergence rate of the power inversion (PI) algorithm utilized in null steering antenna is of vital importance to handle interferences in efficient way. This paper presents the in-depth analysis of the factors affecting the convergence rate of null steering antenna utilizing power inversion algorithm. Apart from choosing optimum value of step size, factors like number of snapshots, signal structure,...
Direction-of-arrival (DOA) is a research direction in array signal processing. This paper estimates the DOA for Multiple-Input Multiple-Output (MIMO) radar system. The algorithms of multiple signal classification and approximated maximum likelihood (MUSIC-AML) based on linear array are deduced. The number of target sources is also valued in this paper. The results show the feasibility and validity...
The use of passive radar for detection of targets of different type has gained considerable popularity in recent times. This radar uses the so-called the “signals of the opportunities” which are already in the environment. These opportunistic signals can be of different types, both in terms of frequency and modulation type. Therefore, instead of designing a separate hardware receiving system, a better...
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