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In a low angle target parameter estimation scenario, the backscattered signals from targets are distorted by clutter and multipath, which degrades the performance of direction-of-arrival (DOA) estimator significantly. This paper presents a novel method using time reversal (TR) technique and coherent signal-subspace method (CSM) for DOA estimation in a low angle scenario. The TR method exploits target...
In this paper, we present a speech analysis method based on sparse pole-zero modeling of speech. Instead of using the all-pole model to approximate the speech production filter, a pole-zero model is used for the combined effect of the vocal tract; radiation at the lips and the glottal pulse shape. Moreover, to consider the spiky excitation form of the pulse train during voiced speech, the modeling...
The paper proposes a convex combination fusion function based on a sigmoid function for the estimation of the a priori SNR in a speech enhancement framework with critical frequency band processing. The proposed method does not only eliminate the one frame delay generated by the well-known decision directed approach but also increases the adaptation speed during abrupt changes in the SNR estimation...
Recently it has been shown that specific classes of non-bandlimited signals known as signals with finite rate of innovation (FRI) can be perfectly reconstructed by using appropriate sampling kernels and reconstruction schemes. The knowledge of the model order (i.e. the rate of innovation) is essential for correct reconstruction. In view of this, we devise an algorithm which can robustly identify the...
The sequential analysis of the problem of joint signal detection and signal-to-noise ratio (SNR) estimation for a linear Gaussian observation model is considered. The problem is posed as an optimization setup where the goal is to minimize the number of samples required to achieve the desired (i) type I and type II error probabilities and (ii) mean squared error performance. This optimization problem...
The work in this manuscript proposes to enhance the secrecy level of wireless systems through the use of a jamming technique that uses uncorrelated reciprocal channel estimations from the legitimate channel as a common random source to select discrete jamming signals in both sides of the legitimate link. After that selection, these jamming signals are combined with data at the legitimate transmitter,...
A binary communication channel under the action of additive Gaussian and non-Gaussian broadband and narrow-band interferences is considered in order to identify the possibilities of using the method of bispectral analysis for the detection and recovery of the useful signal. The discrete random process with SL Johnson distribution is taken as non-Gaussian noise. The estimation of periodic signal detection...
This paper proposes a new algorithm for estimating the relative attitude between two unmanned aerial vehicles based on multiple-input multiple-output radio frequency transmissions between the two aircraft. The method is able to estimate all three Euler angles required to describe the relative attitude, in contrast to prior methods that place severe limits on what can be estimated. Initial simulations...
In this paper, a new algorithm to suppress the interferences for Direction-of-Arrival(DOA) estimation is presented. The method is based on the property of the noise subspace invariant to power of emitters. With theoretical analysis and computer simulations, it is shown that the proposed method has a good performance on signal DOA estimation under disturbances.
This paper describes a novel algorithm for estimating the parameters of a quadratic frequency modulated (QFM) signal under low signal to noise ratio (SNR). The proposed method combines the frequency domain method called Lv's Distribution and the time domain method called high order ambiguity function (HAF) to improve the estimation performance. The algorithm is following two stage approaches. First,...
The advancements in automatic speech recognition through pre-processing of speech is an alternative way to improve word recognition rate. In this work, we explored the speech enhancement techniques for improving the performance of automatic speech recognition for degraded dysarthric speech. The spectral floor parameter is optimized in the multi-band spectral subtraction technique as it controls the...
Estimating the direction of arrivai (DoA) of an audio signal from an aerial platform gives way to estimating the localization of the source. This paper addresses the problem of airborne shooter localization using an array of microphones mounted on a drone. In such a scenario, noise from the propellers poses a great challenge in estimating the DoA of gunshot signals. This, combined with the fact that...
A microwave radar system is a useful tool for all-weather type remote sensing, such as terrain surface measurement. It is well known fact that a resolution of time-of-arrival (TOA) is strictly determined by the frequency bandwidth of transmitted signal. As super-resolution technique beyond such limitation, a compressed sensing (CS) algorithm has come under spotlight because a sparse assumption is...
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). However, it is reported that CSI estimation itself has a large overhead when considering massive MIMO. The authors have proposed analog-digital hybrid massive MIMO configuration which eliminates CSI estimation itself by...
This paper deals with the near-field DOA-Matrix method for source localization using a uniform linear array antenna. In general, the mutual coupling between array elements degrades the DOA estimation accuracy. In this paper, we investigate the influence of mutual coupling in source localization using the near-field DOA-Matrix method and the improved method.
The cyclic method performs the direction-of-arrival (DOA) estimation of the desired signals by using cyclic correlations of digital-modulation signals. This paper proposes a cyclic method which uses in-phase combining of multiple cyclic correlations (MCC) and the forward and backward spatial smoothing processing (FB-SSP). Also, the way of reducing the computation load in FB-SSP is provided. Computer...
This paper considers the problem on setting an appropriate value of Lagrange multiplier for lp Compressive Sensing(CS) based DOA estimation. The proposed method utilizes the receiver noise energy information, and updates the Lagrange multiplier at each iteration step. The proposed method successfully estimates DOA peaks without losing desired peaks and suppress fictitious peaks.
Khatri-Rao (KR) product increases the number of elements virtually and enables to estimate more incoming waves in direction-of-arrival (DOA) estimation using array antenna. The DOA estimation with the KR scheme, however, makes the estimation difficult because the scheme makes the data coherent. The sparse signal reconstruction is a method realizing the DOA estimation regardless of the signal correlation...
Since it is challenging to position the noncooperative receiver (Rx), especially when the backward frequency band of the Rx cannot be obtained by the anchors. In this paper, we propose a novel noncooperative Rx positioning method using full-duplex relay technique, where the anchors act as full-duplex relays for the Rx. It can trigger the close-loop-power-control (CLPC) between the transmitter (Tx)...
The regularization parameter is required in most (if not all) adaptive algorithms, while its role becomes very critical in the presence of additive noise. In this paper, we focus on the regularized recursive least-squares (RLS) algorithm and present a method to find its regularization parameter, which is related to the signal-to-noise ratio (SNR). Also, using a proper estimation of the SNR, we further...
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