I-OMP: an improved OMP algorithm for channel state identification in an underwater wireless optical communication scenario.

Underwater wireless optical communication (UWOC) has attracted considerable interest owing to its capability of high data rates and low latency. As a crucial component of UWOC, the transmission characteristics of an underwater channel directly impact the system's performance metrics. However, the existing channel models cannot exactly capture the underwater channel states, thus degrading the observability of channel states. This paper proposes a hybrid-field channel model containing both far-field and near-field path components, in which the signal-dependent shot noise (SDSN) is incorporated as well to accurately describe the underwater channel behavior. Then an improved orthogonal matching pursuit (I-OMP) algorithm that estimates the far-field and near-field path components independently with different transform matrices is developed to obtain the underwater channel state. The performance analyses show that I-OMP can improve the estimation accuracy of underwater channels by iteratively minimizing the mean square error (MSE) and utilizing two different transform matrices, demonstrating the advantage of the proposed I-OMP over the existing methods.

Joint precoding and power allocation in a FSO channel with signal-dependent noise.

To enhance the throughput of visible light communication (VLC), this paper investigates precoding and power allocation jointly in a free space optical channel with signal-dependent noise (SDN-FSO). With the presence of SDN from a light source, a more realistic multi-user multiple-input single-output (MU-MISO) VLC channel model is introduced. First, based on the entropy power inequality, a capacity bound for the SDN-FSO channel is derived under a MU-MISO scenario. Second, due to the nonnegativity of SDN-FSO input, a zero forcing constraint is introduced to alleviate multi-user interference. Third, from the perspective of resource allocation, min-max and total power budget constraints are taken into consideration. A non-convex joint optimization problem is formulated and divided into two subproblems, i.e., the precoding subproblem and power allocation subproblem. Moreover, an iterative algorithm based on a concave and convex program and a simplified high signal-to-noise ratio approximation method are iteratively implemented in the precoding subproblem. For the power allocation subproblem, successive convex approximation is employed to ensure its optimality. Simulation results indicate that the proposed joint optimization methods can converge after about two iterations and accomplish a throughput improvement of up to 1∼3n a t s/s/H z as compared with the benchmarks for four different spacing scenarios. When channel state information is interfered with noise, the proposed methods still demonstrate their superior performance with varying degrees of noise.

C-DTW for Human Action Recognition Based on Nanogenerator.

Sensor-based human action recognition (HAR) is considered to have broad practical prospects. It applies to wearable devices to collect plantar pressure or acceleration information at human joints during human actions, thereby identifying human motion patterns. Existing related works have mainly focused on improving recognition accuracy, and have rarely considered energy-efficient management of portable HAR systems. Considering the high sensitivity and energy harvesting ability of triboelectric nanogenerators (TENGs), in this research a TENG which achieved output performance of 9.98 mW/cm2 was fabricated using polydimethylsiloxane and carbon nanotube film for sensor-based HAR as a wearable sensor. Considering real-time identification, data are acquired using a sliding window approach. However, the classification accuracy is challenged by quasi-periodic characteristics of the intercepted sequence. To solve this problem, compensatory dynamic time warping (C-DTW) is proposed, which adjusts the DTW result based on the proportion of points separated by small distances under DTW alignment. Our simulation results show that the classification accuracy of C-DTW is higher than that of DTW and its improved versions (e.g., WDTW, DDTW and softDTW), with almost the same complexity. Moreover, C-DTW is much faster than shapeDTW under the same classification accuracy. Without loss of generality, the performance of the existing DTW versions can be enhanced using the compensatory mechanism of C-DTW.

Spot alignment based on a five-photodiode receiver for a UWOC system.

In the traditional underwater wireless optical communication (UWOC) system, spot alignment and communication are divided into different paths. Moreover, the attenuated optical signal is easily submerged by underwater noise, affecting the accuracy of the spot alignment. In this paper, a novel, to the best of our knowledge, five-photodiode receiver (5-PDR) combining communication and spot alignment is proposed, which includes transimpedance amplifiers (TIAs), gain stages, and output buffers. Furthermore, a new denoising algorithm based on the hidden Markov model (HMM) is introduced. Through combining the 5-PDR and the HMM noising algorithm, spot alignment accuracy has been improved. Simulation results show that the root mean square error (RMSE) of our proposed method is reduced by 57.2%, compared with that of traditional four-quadrant detector (4-QD). The RMSE is controlled within 0.0108 mm, even under the worst conditions. The experimental results also confirm that 5-PDR has a good spot alignment ability in UWOC.

Time-difference-of-arrival positioning based on visible light communication for harbor-border inspection.

In view of the complexity of port ship supervision and the influence of external factors such as electromagnetic interference in harbor-border inspection, an efficient system combining an unmanned aerial vehicle (UAV) and visible light positioning (VLP) is proposed for locating maritime targets. In this system, a rotatable receiver with five photodetectors (PDs) installed obliquely on UAV is designed for expanding the positioning range and allowing a lower flight altitude. On this basis, we propose the Chan-Taylor (CT) method based on time difference of arrival (TDOA) for target positioning. First, the localization problem is reformulated as a weighted least squares (WLS) problem and provides a good initial estimate via the two-step WLS (TWLS) method. Then, based on Taylor expansion of TDOA equations, estimated error is calculated using the initial estimate, which can correct the estimated position of the target iteratively. To offset the error, weighted centroid CT (WCCT) is proposed by endowing different weights based on error difference to estimated results. For further improving accuracy, a restricted-region fingerprinting positioning based on CT (CT-RFP) is proposed. In restricted area determined by CT, a certain number of fingerprints is generated based on received signal strength (RSS) for matching. Simulation results show that CT is significantly improved over the previous methods. Compared with TWLS, the accuracy of CT is improved by 49.71%. For WCCT, the maximum error is reduced from 8.65 to 6.91 cm, which effectively reduces the influence of error. Moreover, CT-RFP can achieve an accuracy within millimeter level via the appropriate number of fingerprints and ensemble runs of CT, even at high noise levels.

Harbor-border inspection for unmanned aerial vehicle based on visible light source tracking.

The unmanned aerial vehicle (UAV) offers unique advantages of autonomous flight capability and small coefficient of risk, and is increasingly being used in harbor-border inspection to ensure security and orderly operation of harbors. In response to the influence of external factors such as electromagnetic interference in harbor-border inspection, this paper utilizes UAV and visible light communication (VLC) to build an efficient system to track maritime targets near the harbor reliably. In a VLC scenario, a geometrical equation for transmitter positioning is first proposed based on the received signal strength of the optical signal emitted by the target. On this basis, linear iterative positioning (LIP) using first-order Taylor expansion is proposed to realize online beam tracking. Furthermore, quadratic approximative iterative positioning (QAIP), a more precise approximation of the geometrical equation, is proposed based on second-order Taylor expansion. Simulation results show that the proposed algorithms can track targets effectively, and QAIP can achieve higher accuracy with no noise or high signal-to-noise ratio. In addition, compared with the geometrical solution, LIP and QAIP have faster computing speeds and fixed overheads.

Beam tracking algorithm for marine applications using visible light communication.

Visible light communication (VLC) offers a unique advantage of electromagnetic interference immunity and wide bandwidth. It has gradually become the main candidate in marine communication with great potential. As a green communication link, VLC requires reliable beam tracking as a prerequisite. Therefore, based on the received signal strength of a single-input-multiple-output system in the VLC scenario, this paper first proposes a geometrical algorithm for transmitter localization. On this basis, a linear iterative algorithm using Taylor expansion, implicit function theorem, and time-domain expansion is presented to realize online beam tracking. Under the marine VLC system, an iterative denoising algorithm based on the hidden Markov model and principal component analysis is proposed for denoising. Simulation results show that the proposed algorithms have predominance in high tracking accuracy (within 10 cm) and desirable real-time performance.

[Diagnosis and clinical application of MRI for giant cell tumor of tendon sheath in lower extremity].

OBJECTIVE: To analyze the manifestation and investigate the value of MRI in the diagnosis of giant cell tumor of tendon sheath (GCTTS). METHODS: Twenty patients with GCTTS proved by operation and pathology were retrospectively analyzed. There were 8 males and 12 females. The average age was 35.5 years, range from 15 to 61 years. All the patients underwent MRI examination. RESULTS: Among the 20 cases, 16 patients had the tumor in knee joint, 2 patients had the tumor in interphalangeal articulation of foot and ankle joint respectively. Nineteen patients had limited tumor and 1 patient had diffuse tumor. The soft tissue mass localized beside lower extremity osteoarticulation was displayed on MRI images. On T1WI, the signal intensities of GCTTS almost equaled to those of skeletal muscle in 15 cases and were slightly lower than those of skeletal muscle in 5 cases. On T2WI, the signal intensities tended to range between those of skeletal muscle and fat in 4 cases, almost equaled to those of skeletal muscle in 13 cases, and were slightly lower than those of skeletal muscle in 3 cases. In the 16 patients with gadolinium-enhanced images on T1WI, 5 patients showed homogeneous enhancement and 11 patients showed inhomogeneous enhancement. Four patients had adjacent bone destruction. CONCLUSION: The location, shape and inner signal characteristic of GCTTS localized beside lower extremity osteoarticulation could be demonstrated clearly by MRI examination, which is valuable for clinical diagnosis, guiding treatment and follow-up visit.