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This paper addresses the problem of maximizing the weighted signal-to-interference-plus-noise-ratio (SINR) targets at user terminals in a distributed manner in multicell interference networks. The optimization is constrained to strict individual base station (BS) transmit power limitations in the presence of imperfect channel state information (CSI). This problem is numerically intractable due to...
In this paper, we study the robust relay selection and power allocation problems for orthogonal frequency division multiplexing (OFDM) based cooperative cognitive radio networks (CRNs) with channel uncertainties. The objective is to maximize the capacity of the cooperative CRN, which is subject to the interference threshold constraints of primary users (PUs) and the total transmit power limitation...
This paper considers a robust precoder design for MIMO-OFDM systems with insufficient cyclic prefix (CP). Interference alignment is utilized to formulate the precoder design problem as a bit error rate (BER) minimization problem subject to a total power constraint. To this end, the precoder is designed to be robust to the errors in the available channel estimates, by considering the worst-case BER...
Robust adaptive beamforming (RAB) has became a popular research topic, with various RAB techniques being proposed in the past decades. However, because the sample covariance matrix rather than the interference-plus-noise co-variance matrix is used to calculate the weight vector, the performance of the previously developed RAB techniques is not optimal. In this paper, a novel RAB algorithm, which uses...
The existing adaptive beamforming techniques developed for underwater sensor array usually suffer from significant performance degradation due to the mismatch between the presumed and actual steering vectors. In this paper, a novel convex optimization based robust adaptive beamforming algorithm is proposed. First, the steering vector corresponding to the desired signal is estimated by solving a convex...
In this paper, we introduce a procedure for the null broadening algorithm design with respect to the perturbation of the interference location. This method is based on maximizing the array output signal-to-interference-plus-noise-ratio (SINR) subject to quadratic constraints. The design problem can be cast as a fractional quadratically constrained quadratic programming (QCQP) problem that can be solved...
This paper presents a new embedding strategy to extend the performance bound of spread spectrum (SS) based watermarking by introducing more imperceptible distortions measured in the mean square errors (MSE). The potential of the host is sufficiently exploited and utilized to maximize the watermark robustness. This strategy is then realized in audio watermarking by adaptively inverting the host according...
Since a decade multi-agents became a widespread solution to tackle different kinds of issues in various application fields. Among the two main trends in multi-agent approaches (cognitive vs. reactive), the reactive one is particularly interesting for applications that require both fast response time, adaptability and robustness. Reactive Multi-agent Systems rely on simple interaction schemes between...
One of the difficulties faced by high-sensitivity GNSS receivers is the so-called near-far problem, where the acquisition of weak signals is hampered by the presence of more powerful signals. If countermeasures are not implemented, the presence of near-far may result in loss or false acquisition of weak signals, and consequently the user's position may exhibit a huge error. In this sense, subspace...
Interferences, especially competing speakers, significantly influence speech intelligibility. In this paper, we propose an interference suppression method using only two closely-spaced microphones. Firstly, a 1st-order hypercardioid differential microphone array (DMA) with white noise gain (WNG) constraint is designed in the STFT domain, which solves the amplification problem of DMA on incoherent...
The minimum variance distortionless response (MVDR) beamformer is known to be sensitive to steering vector error, especially when the desired signal is present in the training snapshots. The robust capon beamformer (RCB) can deal with this problem, but is computational expensive. A modification of RCB is presented utilizing the low-rank property of the steering matrix which consists of the steering...
A new robust adaptive beamforming based on phase extraction is proposed in this paper. The steering vector (SV) is firstly estimated by iterative procedure, and then the angle sector of the desired signal can be determined by using the phase information of the estimated SV. By using the estimated angle sector, the interference-plus-noise covariance matrix can be calculated by Capon spectral integration...
Fingerprint localization algorithm is widely used in indoor scenario positioning. Received Signal Strength (RSS) is commonly used as the signal feature of fingerprint algorithm. But RSS could be changed due to the temperature or environment reason, which makes it an unreliable signal feature. This paper proposes a novel positioning algorithm based on the formal K Nearest Neighbor (KNN) algorithm....
This manuscript presents a robust data-independent near-field beamformer using a linear microphone array. We consider a scenario with a desired sound source and an interferer; our goal in this manuscript is to provide a technique to extract the desired source signal while attenuating the interferer. We formulate the beamformer design problem as a convex optimization problem with additional constraints...
This paper considers an underlay access strategy for coexisting wireless networks where the secondary system utilizes the primary spectrum to serve its users. We focus on the practical cases where there is uncertainty in the estimation of channel state information (CSI). Here the throughput performance of each system is limited by the interference imposed by the other, resulting in conflicting objectives...
In this paper, we consider a joint transmission scheme of coordinated multi-point (COMP) technology in communication networks. In this kind of networks, data can be transmited from multiple points to a user in a time-frequency resource, simultaneously. Because of high signaling and successive delays, channel state information at the transmitter (CSIT) may be incorrect. In this regard, we devise the...
Color brings extra data capacity for QR codes, but it also brings tremendous challenges to the decoding because of color interference and illumination variation, especially for high-density QR codes. In this paper, we put forth a framework for high-capacity QR codes, HiQ, which optimizes the decoding algorithm for high-density QR codes to achieve robust and fast decoding on mobile devices, and adopts...
In this paper a robust beamforming method is proposed, which can effectively overcome the influence of DOA(direction of arrival) mismatch. The proposed method exhibits the enhanced robustness of the beamformers based on analysis of linear constrained minimum variance beamformer. Then the support vector regression (SVR) algorithm is applied to the robust beamforming, which is based on the principle...
Most of the blind source separation (BSS) models assume that the independent sources are observed through some unknown mixing process in the absence of noise. However, the additive noise may be present in many practical applications. The bias caused by noise will limit the separation performance of the BSS algorithm. The existing modified algorithms based on quasi-whitening only can improve the signal-to-interference...
In order to remove desired signal component from the sample covariance matrix, a novel robust adaptive beamformer is proposed based on desired signal covariance matrix estimation. The desired signal direction is first calculated based on the first-order Taylor series approximation, and then the desired signal's steering vector and power are estimated by using iterative robust minimum variance beamforming,...
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