Capacity analysis of underwater visible light communication systems over a lossy channel in the presence of noises.

Absorption and scattering losses due to impurities and turbidity in the water affect the transmission quality of underwater visible light communication links, restricting the channel capacity. For the first time to our knowledge, this paper analytically studies the channel capacity of a point-to-point underwater visible light communication link in the presence of input-independent and -dependent noises along with absorption and scattering losses. This way, novel lower and upper bound expressions on channel capacity are derived when average and peak-intensity constraints are imposed on the channel input. Our proposed upper and lower bounds are tight at high optical signal-to-noise ratio. The derived analytic expression of capacity also helps to evaluate the available data rate in the presence of different types of noise and water. From the results, we can say that input-dependent noise causes more system capacity degradation than input-independent noise. The results show that good water quality is crucial for high-capacity communication links. Furthermore, it is shown that the attenuation of the optical signal is more in water when compared to air as a medium, and channel capacity decreases as the link range increases. The results reported in this paper provide valuable insight into the design of underwater visible light communication systems.

Left-Right ambiguity resolution for coprime sparse arrays.

Coprime Sparse Arrays (CSA) with two collocated uniform linear arrays are used to estimate O(MN) direction of arrivals for a narrow band source with only O(M+N) sensors. The CSA cannot discriminate the azimuth and its complementary angles due to the symmetry along the array-axis. The bearing ambiguity, also referred to as a Left-Right (LR) ambiguity, is addressed in this paper using CSA. We design Left-Right resolved Coprime Sparse Arrays (LRCSA) to produce a null that is electronically steered to the complementary angle of the desired direction. LRCSA twin array achieves higher spatial resolution than the conventional fully populated LR array with same number of sensors, much like the collocated CSA. Three methods, namely, Null Constrained Beamformer (NCB), two-dimensional Direct Beamformer (2DDB), and LRCSA are studied. The bound on the detection gain is analytically established for the LRCSA under correlated noise scenarios modeled by the first-order autoregressive process. Twin array processing using the LRCSA method results in narrow mainlobe beam width along with a higher rejection ratio (RR) compared to 2DDB and NCB. Data obtained from a sea experiment using a towed array is analyzed. The results confirm that the CSA based cardioid processing resolved LR ambiguity along with a higher RR and narrower beams.

Steerable sparse linear array design based on compressive sensing with multiple measurement vectors.

This paper presents the synthesis of a non-uniform linear array for two-dimensional Range-Bearing underwater acoustic imaging based on the multiple beam, measurement vectors (MMV) Compressive Sensing (CS) method. This method considers multiple steering directions in the mathematical model and exploits the sparsity of the oversampled linear aperture to obtain a thinned array structure. In this paper, a simulation study to synthesise the sparse linear array (SLA) for a Forward Looking Sonar system considering multiple beams in the field of view (FOV) was conducted. The comparison of the array synthesised using single measurement vector compressive sensing (SMV CS), which considers only the broadside beam in the mathematical model, is also presented. From the imaging point of view, when the SMV CS synthesised SLA is steered in a direction other than broadside, spurious/unwanted lobes appear in the beam pattern (BP). To overcome this problem, the MMV method and demonstrate its performance efficacy with a simulation study are proposed. The design of SLA for 37.5, 75, 150, 300, and 600 kHz with angular resolution 6.4°-0.4° with 11-149 beams in the FOV keeping the aperture fixed are presented, as is a design keeping angular resolution fixed at 1.5° to generalise a design of SLA for the above mentioned interested frequencies.

Design and analysis of air acoustic vector-sensor configurations for two-dimensional geometry.

Acoustic vector-sensors (AVS) have been designed using the P-P method for different microphone configurations. These configurations have been used to project the acoustic intensity on the orthogonal axes through which the direction of arrival (DoA) of a sound source has been estimated. The analytical expressions for the DoA for different microphone configurations have been derived for two-dimensional geometry. Finite element method simulation using COMSOL-Multiphysics has been performed, where the microphone signals for AVS configurations have been recorded in free field conditions. The performance of all the configurations has been evaluated with respect to angular error and root-mean-square angular error. The simulation results obtained with ideal geometry for different configurations have been corroborated experimentally with prototype AVS realizations and also compared with microphone-array method, viz., Multiple Signal Classification and Generalized Cross Correlation. Experiments have been performed in an anechoic room using different prototype AVS configurations made from small size microphones. The DoA performance using analytical expressions, simulation studies, and experiments with prototype AVS in anechoic chamber are presented in the paper. The square and delta configurations are found to perform better in the absence and presence of noise, respectively.

A multimodal detection model of dolphins to estimate abundance validated by field experiments.

Abundance estimation of marine mammals requires matching of detection of an animal or a group of animal by two independent means. A multimodal detection model using visual and acoustic cues (surfacing and phonation) that enables abundance estimation of dolphins is proposed. The method does not require a specific time window to match the cues of both means for applying mark-recapture method. The proposed model was evaluated using data obtained in field observations of Ganges River dolphins and Irrawaddy dolphins, as examples of dispersed and condensed distributions of animals, respectively. The acoustic detection probability was approximately 80%, 20% higher than that of visual detection for both species, regardless of the distribution of the animals in present study sites. The abundance estimates of Ganges River dolphins and Irrawaddy dolphins fairly agreed with the numbers reported in previous monitoring studies. The single animal detection probability was smaller than that of larger cluster size, as predicted by the model and confirmed by field data. However, dense groups of Irrawaddy dolphins showed difference in cluster sizes observed by visual and acoustic methods. Lower detection probability of single clusters of this species seemed to be caused by the clumped distribution of this species.

Radiated signal characteristics of marine vessels in the cepstral domain for shallow underwater channel.

This work examines the distribution of cepstral energy of the radiated signal of a marine vessel and the underwater channel modeled as a block-adaptive linear system. Detailed simulation analysis of the signal at the receiver of a passive sonar has led to the observation that, in the cepstral domain the radiated signal of a marine vessel largely occupies the lower cepstral indices while the underwater channel occupies the higher indices, such that for several range and depth conditions, the two can be separated out. This finding can facilitate the design of filters in the cepstral domain for reducing distortions due to the underwater channel. The work presents analytical justification and simulation studies in this regard.

Localization of sperm whales in a group using clicks received at two separated short baseline arrays.

In this paper, a sperm whale click analysis scheme is proposed in order to calculate the position of individual sperm whales in a group using data received at two arrays deployed near the surface. The proposed method mainly consists of two parts: short baseline (SBL) with classification and long baseline (LBL) with class matching. In SBL with classification, a click is automatically detected, and its direction of arrival is calculated. The clicks are then classified based on their direction vectors. The class data are then sent together with direction data and matched to the other array's class data. LBL with class matching is used for localization. The classification algorithm can be used to estimate the number of whales clicking and to list potential candidates for LBL matching. As a result, the proposed method is able to localize the positions of the whales in a group. The performance of the proposed method is evaluated using data recorded off Ogasawara islands with two arrays near the surface. The three-dimensional underwater trajectories of six sperm whales are extracted to demonstrate the capability of the proposed method.