
- Read more about Acquisition of Asynchronous Data and Parameter Estimation based on Double-Cross- Correlation Processor with Phase Transform (Demo at WASPAA 2021)
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Coherent processing of signals captured by a wireless acoustic sensor network (WASN) requires an estimation of such parameters as the sampling-rate and sampling-time offset (SRO and STO). The acquired asynchronous signals of such WASN exhibit an accumulating time drift (ATD) linearly growing with time and dependent on SRO and STO values. In our demonstration, we present a real WASN based on Respberry-Pi computers, where SRO and ATD values are estimated by using a double-cross-correlation processor with phase transfrom (DXCP-PhaT) recently proposed.
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- Read more about CRAMÉR-RAO BOUND AND ANTENNA SELECTION OPTIMIZATION FOR DUAL RADAR-COMMUNICATION DESIGN
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- Read more about A NEW COPRIME-ARRAY-BASED CONFIGURATION WITH AUGMENTED DEGREES OF FREEDOM AND REDUCED MUTUAL COUPLING
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In this paper, a new type of coprime-array-based structure, named AtCADiS, is proposed to achieve increased degrees of freedom (DoFs) and reduced mutual coupling. The closed-form expressions for the sensor positions and the number of uniform DoFs (uDoFs) of AtCADiS are provided. Specifically, AtCADiS is constructed via two steps. First, we shift the leftmost sensor of tCADiS to the right by N.
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- Read more about Semidefinite Relaxation Method for Moving Object Localization Using A Stationary Transmitter at Unknown Position
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- Read more about Conjugate Augmented Spatial-Temporal Near-Field Sources Localization with Cross Array
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- Read more about TCLA Array: A New Sparse Array Design with Less Mutual Coupling
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- Read more about Single-Point Array Response Control with Minimum Pattern Deviation
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- Read more about Parameter Identifiability of Spatial-Smoothing-Based Bistatic MIMO Radar
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Diversity smoothing has been widely developed for angle estimation with bistatic multiple input multiple output (MIMO) radar in the presence of coherent targets, the parameter identifiability of which is an important issue. In this paper, we are devoted to establishing more accurate conditions by studying the positive definiteness of smoothed target covariance matrix. The antenna numbers of transmit and receive arrays are derived as functions of the target number and target structure. We show that the new results improve upon previous ones and recover them in special cases.
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We propose a generalized thinned coprime array by introducing the flexible inter-element spacings, where the conventional one can be seen as a special case. We derive closed-form expression for the range of consecutive lags, written as the functions of the antenna numbers and inter-element spacings. We show that, after optimization, the proposed array can achieve more consecutive lags than the other coprime arrays. In particular, the optimized results also provide the minimum number of antenna pairs with small separation.
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- Read more about LOW-RANK AND SPARSE DECOMPOSITION FOR JOINT DOA ESTIMATION AND CONTAMINATED SENSORS DETECTION WITH SPARSELY CONTAMINATED ARRAYS
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Many works have been done in direction-of-arrival (DOA) estimation in the presence of sensor gain and phase uncertainties in the past decades. Most of the existing approaches require either auxiliary sources with exactly known DOAs or perfectly partly calibrated arrays. In this work, we consider sparsely contaminated arrays in which only a few sensors are contaminated by sensor gain and phase errors, and moreover, the number of contaminated sensors as well as their positions are unknown.
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