In this paper, a beampattern design method is proposed for the multi-input-multi-output (MIMO) dual-function radar-communication (DFRC) system with an interleaved array. To make full use of the whole aperture, first, ...
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ISBN:
(纸本)9781728119465
In this paper, a beampattern design method is proposed for the multi-input-multi-output (MIMO) dual-function radar-communication (DFRC) system with an interleaved array. To make full use of the whole aperture, first, the transmit array is partitioned into two interleaved subarrays, one is for radar and the other is for downlink communications. Then, both the radar waveform and communication beamformers are optimized by combining the null-space projection (NSP) method and cyclic approach (CA) to perform the coexistence of MIMO radar and downlink communications. Besides, the communication beampattern can be utilized to improve the detection performance. Finally, several numerical results are given to show the effectiveness of the proposed method.
The interplay between signalprocessing and wireless networking plays a crucial role in sensor networks deployed for detection and estimation applications. In this paper, an opportunistic power assignment strategy for...
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ISBN:
(纸本)9781424422401
The interplay between signalprocessing and wireless networking plays a crucial role in sensor networks deployed for detection and estimation applications. In this paper, an opportunistic power assignment strategy for IR-UWB sensor networks is presented which is designed to optimize detection performance in terms of the global probability of error. The opportunistic power assignment strategy utilizes both the detection error probabilities of individual sensors as well as network topology information, leading to significant performance gains compared to uniform power assignment.
We propose a novel direction-of-arrival (DOA) estimation method, which uses sensors of the receiving array, for spatially non-symmetric distributed sources characterized by multipath fading. Specifically, the probabil...
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ISBN:
(纸本)0780385454
We propose a novel direction-of-arrival (DOA) estimation method, which uses sensors of the receiving array, for spatially non-symmetric distributed sources characterized by multipath fading. Specifically, the probability density function (PDF) of a non-symmetric distribution is modeled as the summation of two Gaussian PDFs. The proposed algorithm is based on a covariance fitting and accurately estimates the DOA for a non-symmetricaly distributed source by determining the scaling ratio between the two Gaussians. Furthermore, the degree of angular spread is also evaluated by using these estimated parameters.
This work studies a new beamformer for non-periodic sparse bidimensional ultrasonic array transducer. It is based on a weighting factor based on signals phase dispersion to enhance the image points where the phase coh...
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ISBN:
(纸本)9781467310710
This work studies a new beamformer for non-periodic sparse bidimensional ultrasonic array transducer. It is based on a weighting factor based on signals phase dispersion to enhance the image points where the phase coherence between the received signals is high. A method to measure the phase dispersion based on Fourier analysis and its integration in the beamformer are presented. Its performance is evaluated using a non-periodic 2D sparse array based on Fermat spiral with 96 elements and a diameter of 60 lambda. Compared with conventional Delay-And-Sum beamformer the proposed solution reduces the aperture lateral resolution and improves its dynamic range, achieving up to 50dB of contrast in the image and less 1 degrees in lateral resolution.
We propose a MUSIC based array imaging method for ultrasonic non-destructive testing (NDT) applications. We take the mode conversion phenomenon into account and develop a MUSIC-based imaging technique which exploits t...
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ISBN:
(纸本)9781467310710
We propose a MUSIC based array imaging method for ultrasonic non-destructive testing (NDT) applications. We take the mode conversion phenomenon into account and develop a MUSIC-based imaging technique which exploits the additional information that is present in all propagating modes to the advantage of the imaging process-a problem not previously addressed in the context of NDT applications. Both the numerical simulations as well as data validation show that our proposed approach performs better than the traditional MUSIC based and delay-and-sum (DAS) based imaging algorithms in terms of root mean square error (RMSE) and also provides higher resolution and better side lobe suppression capabilities.
This paper describes the implementation in silicon of a retina-like sensor characterized by a space-variant resolution similar to that of the human retina. Besides the actual implementation using CMOS technology, the ...
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ISBN:
(纸本)0780363396
This paper describes the implementation in silicon of a retina-like sensor characterized by a space-variant resolution similar to that of the human retina. Besides the actual implementation using CMOS technology, the design peculiarities of retina-like sensors are compared with the use of software or hardware electronic remappers. The paper also describes the realization of a retina-like digital camera and its applications for realtime control and image transmission.
The Bayesian mixture of factor analyzers (BMFA), which achieves joint clustering and dimensionality reduction, is with an appealing feature of automatic hyper-parameter learning. In addition to its great success in va...
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ISBN:
(数字)9781728119465
ISBN:
(纸本)9781728119465
The Bayesian mixture of factor analyzers (BMFA), which achieves joint clustering and dimensionality reduction, is with an appealing feature of automatic hyper-parameter learning. In addition to its great success in various unsupervised learning tasks, it exemplifies how the Bayesian statistics can be leveraged to achieve automatic hyper-parameter learning, which is an open problem of modern simultaneous (deep) dimensionality reduction and clustering. Due to the importance of the BMFA, in this paper, its mechanism is carefully investigated, and a robust variant of the BMFA that can mitigate potential outliers is further proposed. Numerical studies are presented to show the remarkable performance of the proposed algorithm in terms of accuracy and robustness.
In this paper, we investigate the joint multiple-input multiple-output (MIMO) radar and communications system convergence problem and develop a joint radar-communications performance bound using the concept of estimat...
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ISBN:
(纸本)9781538647523
In this paper, we investigate the joint multiple-input multiple-output (MIMO) radar and communications system convergence problem and develop a joint radar-communications performance bound using the concept of estimation rate for radar system and data information rate for communications system. At the radar receiver, we propose a Successive Interference Cancellation (SIC) strategy to estimate radar parameters and decode communications signal simultaneously. While, at the MIMO communications transmitter, we propose a spectrum sharing scheme and show that the optimal communications performance can be achieved through a spectral and spatial waterfilling algorithm. In the end, we show that the Multiple-Access (MAC) performance bound outperforms the result from the spectrally isolated MIMO radar-communications system.
We present a deep reinforcement learning approach to design an automotive radar system with integrated sensing and communication. In the proposed system, sparse transmit arrays with quantized phase shifter are used to...
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ISBN:
(纸本)9781665406338
We present a deep reinforcement learning approach to design an automotive radar system with integrated sensing and communication. In the proposed system, sparse transmit arrays with quantized phase shifter are used to carry out transmit beamforming to enhance the performance of both radar sensing and communication. Through interaction with environment, the automotive radar learns a reward that reflects the difference between mainlobe peak and the peak sidelobe level in radar sensing mode or communication user feedback in communication mode, and intelligently adjust its beamforming vector. The Wolpertinger policy based actioncritic network is introduced for beamforming vector learning, which solves the dimension curse due to huge beamforming action space.
This paper presents a novel synthetic aperture method, which can be used to reduce the average sidelobe level of a random spherical volumetric array. The technique exploits a general property of random arrays in which...
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ISBN:
(纸本)1424403081
This paper presents a novel synthetic aperture method, which can be used to reduce the average sidelobe level of a random spherical volumetric array. The technique exploits a general property of random arrays in which the average sidelobe level is inversely proportional to the number of elements present.
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