The following topics are dealt with: arrayprocessing for communications; DOA estimation and localization; radar; sensor networks and distributed estimation; beamforming; speech/audio/acoustic arrayprocessing; detect...
The following topics are dealt with: arrayprocessing for communications; DOA estimation and localization; radar; sensor networks and distributed estimation; beamforming; speech/audio/acoustic arrayprocessing; detection and estimation; blind source separation.
The following topics were dealt with: beamforming; direction-of-arrival estimation; tracking; multi-sensors application; multi-channel processing; sensorarrayprocessing; MIMO processing; space-time coding; synthetic...
The following topics were dealt with: beamforming; direction-of-arrival estimation; tracking; multi-sensors application; multi-channel processing; sensorarrayprocessing; MIMO processing; space-time coding; synthetic aperture space-time processing; imaging; space-time processing for radar; sensor networking; sensor management; sonar; and microphone arrayprocessing
Jun.8～11,2020 Hangzhou,China Submission deadline:Dec.15,2019 ABOUT CONFERENCE The samworkshop is an important ieeesignalprocessing Society event dedicated to sensorarray and multichannelsignalprocessing with ab...
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Jun.8～11,2020 Hangzhou,China Submission deadline:Dec.15,2019 ABOUT CONFERENCE The samworkshop is an important ieeesignalprocessing Society event dedicated to sensorarray and multichannelsignalprocessing with about 200 *** organizing committee invites the international community to contribute with state-of-the-art developments in the field.
The proceedings contain 133 papers. The topics discussed include: SVM-based tool to detect patients with multiple sclerosis using a commercial EMG sensor;hybrid particle filtering based on an elitist resampling scheme...
The proceedings contain 156 papers. The topics discussed include: low-complexity DOA estimation based on Hermitian EVDS;switched-randomized robust PCA for foreground and background separation in video surveillance;an ...
ISBN:
(纸本)9781509021031
The proceedings contain 156 papers. The topics discussed include: low-complexity DOA estimation based on Hermitian EVDS;switched-randomized robust PCA for foreground and background separation in video surveillance;an optimal polarization tracking algorithm for lithium-niobate-based polarization controllers;sliding-window homotopy adaptive filter for estimation of sparse UWA channels;low-rank robust adaptive beamforming techniques using joint iterative optimization;cooperative navigation and coverage identification with random gossip and sensor fusion;stream selection methods for non-regenerative mimo relay networks;comparing antenna selection and hybrid precoding for millimeter wave wireless communications;joint MSINR and relay selection algorithms for distributed beamforming;performance analysis of a persymmetric adaptive matched filter;channel estimation and uplink achievable rates in one-bit massive MIMO systems;distributed fractional programming in matched multiple access channels;and new Crameár-Rao bound expressions for coprime and other sparse arrays.
In this paper, random switch antenna array (RSAA) is proposed to apply to the switch antenna array (SAA) frequency-modulated continuous-wave (FMCW) radar system. Firstly, the signal model and signalprocessing method ...
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ISBN:
(纸本)9781467310710
In this paper, random switch antenna array (RSAA) is proposed to apply to the switch antenna array (SAA) frequency-modulated continuous-wave (FMCW) radar system. Firstly, the signal model and signalprocessing method of RSAA is analyzed and it shows that RSAA can successfully solve azimuth-velocity coupling problem. Then we suppose a method by using RSAA to reduce the switching frequency and sampling rate based on sparse signal representation with multiple measurement vectors (MMV). It is shown in simulations that the proposed algorithms yield better performance in terms of azimuth-velocity decoupling and can obtain high image accuracy with less observation data.
We propose a low complexity arrayprocessing method for differential detection of OFDM signals over underwater acoustic channels. Partial FFT technique, developed previously for mitigating inter-carrier interference i...
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ISBN:
(纸本)9781467310710
We propose a low complexity arrayprocessing method for differential detection of OFDM signals over underwater acoustic channels. Partial FFT technique, developed previously for mitigating inter-carrier interference in single-channel receivers operating over time-varying channels, is extended to multichannel configuration. Performance results based on simulation and experimental data demonstrate the advantage of the proposed method compared to conventional differential and coherent detection.
This paper investigates an adaptive beamforming technique that is robust against imperfect knowledge of signal and interference arrival directions, antenna calibration errors and other similar imperfections. The propo...
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ISBN:
(纸本)9781467310710
This paper investigates an adaptive beamforming technique that is robust against imperfect knowledge of signal and interference arrival directions, antenna calibration errors and other similar imperfections. The proposed technique is based on Generalized Sidelobe Canceller but uses Slepian sequences in both the steering and blocking lobes of the algorithm. Only Slepians corresponding to large spectral concentrations are used in the branches. The theoretical results are verified in a simulation study.
Graph signalprocessing (GSP) can be applied as a modeling tool to study and optimally configure IoT sensor networks. Such networks are often characterized by stringent power requirements and a high probability of sen...
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ISBN:
(纸本)9781665406338
Graph signalprocessing (GSP) can be applied as a modeling tool to study and optimally configure IoT sensor networks. Such networks are often characterized by stringent power requirements and a high probability of sensor fault. In this scenario, understanding and governing the response on a sample of the sensors is critical to maximizing network lifetime and spreading out maintenance time. The aim of this paper is to verify the ability of the GSP to model and provide answers to these goals.
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