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Estimating the orientation of multiple-input multiple-output (MIMO) radar images is a challenging problem because of the isotropic amplitude spectrum, an inadequate number of line features and the existence of strong noise or clutter. To solve this problem, a scatterer template-based method is proposed in this paper. The key idea of the proposed method is that the inertia of the sampled image with...
With novel underwater wireless sensor array network (UWSAN) architecture that consists of multiple distributed arrays of acoustic sensors, maximum likelihood localization based on acoustic energy is proposed for solving the source localization in underwater and low signal to noise ratio. The exactly maximum likelihood (ML) target location estimator is derived. Very impressive simulation results demonstrated...
With novel underwater wireless sensor array network architecture, the weighted least square (WLS) source localization method is developed. In this method, each sensor node is attached to a local sensor array which can estimated Signal-Noise-Ratio (SNR) as well the local direction-of-Arrival (DOA). Global localization can combined with estimated DOA selected by SNR. The target position can be fused...
Target identification has been an active researching area in past decades. In this paper, we present an identification method based on the high-resolution image from a narrowband multiple-input multiple-output (NMIMO) imaging radar system. Different from the traditional image-based method, the key idea of the proposed method is to build the plane-rotation-invariance features of a candidate target...
This paper investigates proactive relay selection (PRS) in distributed cooperative networks with multiple potential relays and multiple source-destination pairs. A simple PRS scheme is proposed and its outage probability is analyzed. Compared with the reactive relay selection (RRS) scheme proposed in, our PRS scheme has a loss on the outage performance. However, its significance lies in three aspects:...
In novel underwater wireless sensor array network architecture (UWSAN), each sensor node is attached to a local sensor array which performs maximum likelihood direction of arrival (DOA) locally. Sensor nodes communicate via acoustic channel and exchange DOA estimate and received target signal energy. Global DOA based localization is combined with energy in a non-linear least square cost function to...
A novel underwater wireless sensor array network architecture is proposed. In this wireless sensor network, the maximum likelihood estimate of target location based on amplitude and phase of acoustic signatures is developed. Each local likelihood function can be partitioned into the amplitude and phase portion. For each sensor node is attached to a local sensor array which can performs maximum likelihood...
Target identification has been an active researching area in past decades. In this paper, we present an iteration procedure to optimize the size of the undercomplete dictionary when multiple undercomplete dictionaries are used to characterize the scattering signatures of a complex target. Furthermore, we extend the signature reconstruction and decision criterion with only single undercomplete dictionary...
Matching pursuit (MP) is an iterative algorithm for signal representation which is applied widely to compression, feature extraction, signal denoising, and more. During last decades, main attention about the algorithm has been focused on the signal decomposition with respect to a complete or overcomplete dictionary. However, in this paper, we extend results by Mallat and Zhang about MP with overcomplete...
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