Sparse methods for blind source separation of frequency hopping rf sources

Blind source separation (BSS) is performed on frequency hopping (FH) sources. These radio frequency (RF) signals are observed by a uniform linear array (ULA) over a Spatial Channel Model (SCM) in four different propagation environments: (i) line-of-sight (LOS), (ii) single-cluster, (iii) multiple-cluster, and (iv) LOS with interference. The sources are spatially sparse, and their activity is intermittent and assumed to follow a hidden Markov model (HMM). BSS is achieved by utilizing direction of arrival (DOA) of the sources and clusters. A sparse detection framework is applied to obtain estimates of the sources\u27 FH and DOA patterns. The solutions are binned according to a frequency grid and a DOA dictionary. A method is proposed to reduce the effect of falsely detected active sources and mitigate the effects of interference, by leveraging the activity model of the intermittent sources. The proposed method is a state filtering technique, referred to as hidden state filtering (HSF), and is used to improve BSS performance. Multiple activity patterns associated with different DOAs are considered similar if they match over a prescribed fraction of the time samples. A method pairing DOA and FH estimates associates the FH patterns to specific sources via their estimated DOAs. Numerical results demonstrate that the proposed algorithm is capable of separating multiple spatially sparse FH sources with intermittent activity, by providing estimates of their FH patterns and DOA

Быстродействующий параллельный фильтр частиц для слепого разделения PCMA сигналов

Полный текст доступен на сайте издания по подписке: http://radio.kpi.ua/article/view/S0021347016100058В статье предложен усовершенствованный алгоритм быстродействующего параллельного фильтра частиц (particle filter) для слепого разделения PCMA-сигналов путем использования характеристик параллелизма фильтра частиц с помощью кластерной компьютерной системы, построенной с использованием распределенного вычислительного сервера пакета Matlab и набора инструментальных средств для параллельных вычислений пакета Matlab. Результаты моделирования показывают, что параллельный алгоритм способен быстро и эффективно производить слепое разделение PCMA-сигналов. Кроме того, он значительно сокращает время разделения без снижения эффективности работы алгоритма и улучшает работу системы в режиме реального времени

UNDERWATER COMMUNICATIONS WITH ACOUSTIC STEGANOGRAPHY: RECOVERY ANALYSIS AND MODELING

In the modern warfare environment, communication is a cornerstone of combat competence. However, the increasing threat of communications-denied environments highlights the need for communications systems with low probability of intercept and detection. This is doubly true in the subsurface environment, where communications and sonar systems can reveal the tactical location of platforms and capabilities, subverting their covert mission set. A steganographic communication scheme that leverages existing technologies and unexpected data carriers is a feasible means of increasing assurance of communications, even in denied environments. This research works toward a covert communication system by determining and comparing novel symbol recovery schemes to extract data from a signal transmitted under a steganographic technique and interfered with by a simulated underwater acoustic channel. We apply techniques for reliably extracting imperceptible information from unremarkable acoustic events robust to the variability of the hostile operating environment. The system is evaluated based on performance metrics, such as transmission rate and bit error rate, and we show that our scheme is sufficient to conduct covert communications through acoustic transmissions, though we do not solve the problems of synchronization or equalization.Lieutenant, United States NavyApproved for public release. Distribution is unlimited

The role of two anatomically separate olfactory bulbs in shark food odor tracking

Most sharks have well-developed olfactory systems and depend to a large degree on odor information to locate food, home and navigate, and possibly detect predators and mates. The aim of this investigation is to determine the behavioral function of two paired bilateral olfactory bulbs in the smooth dogfish shark, Mustelus canis. The paired olfactory bulbs are a rare and unique feature among elasmobranchs and are absent in bony fishes. Given that the olfactory system of bony fishes contains lateral and medial nerve bundles with behavioral functions in feeding and social behavior respectively, we hypothesize that sharks have an elaborate functional division in which the medial bulb is processing social odors and the lateral bulb food odors. This functional division would parallel the division into an olfactory and an accessory olfactory system, also known as the vomeronasal organ or Jacobson’s organ, which evolved in tetrapods. Our study is based on the behavioral effects of selective transection of the two olfactory tracts to reveal how the brain is processing input from two anatomically distinct olfactory systems. The results show that animals with lateral tract transections showed impaired ability to track a food odor plume while those with medial transections showed no change. Attempts to identify a reliable social odor (pheromone) were not successful, preventing us from determining the deficits expected from medial tract lesions