Pulse-to-pulse periodic signal sorting features and feature extraction in radar emitter pulse sequences

A novel class of periodically changing features hidden in radar pulse sequence environment,named G features,is proposed.Combining fractal theory and Hilbert-Huang transform,the features are extracted using changing characteristics of pulse parameters in radar emitter signals.The features can be applied in modern complex electronic warfare environment to address the issue of signal sorting when radar emitter pulse signal parameters severely or even completely overlap.Experiment results show that the proposed feature class and feature extraction method can discriminate periodically changing pulse sequence signal sorting features from radar pulse signal flow with complex variant features,therefore provide a new methodology for signal sorting.

NOVEL RADAR SIGNAL SORTING METHOD BASED ON GEOMETRIC COVERING

With the increase of complexity of electromagnetic environment and continuous appearance of advanced system radars,signals received by radar reconnaissance receivers become even more intensive and complex.Therefore,traditional radar sorting methods based on neural network algorithms and support vector machine(SVM) cannot process them effectively.Aiming at solving this problem,a novel radar signal sorting method based on the cloud model theory and the geometric covering algorithm is proposed.By applying the geometric covering algorithm to divide input signals into different covering domains based on their distribution characteristics,the method can overcome a typical problem that it is easy for traditional sorting algorithms to fall into the local extrema due to the use of complex nonlinear equation to describe input signals.The method uses the cloud model to describe the membership degree between signals to be sorted and their covering domains,thus it avoids the disadvantage that traditional sorting methods based on hard clustering cannot deinterleave the signal samples with overlapped parameters. Experimental results show that the presented method can effectively sort advanced system radar signals with overlapped parameters in complex electromagnetic environment.

Multi-Parameter Signal Sorting Algorithm Based on Dynamic Distance Clustering

A multi-parameter signal sorting algorithm for interleaved radar pulses in dense emitter environment is presented. The algorithm includes two parts, pulse classification and pulse repetition interval （PRI） analysis. Firstly, we propose the dynamic distance clustering （DDC） for classification. In the clustering algorithm, the multi-dimension features of radar pulse are used for reliable classification. The similarity threshold estimation method in DDC is derived, which contributes to the efficiency of the algorithm. However, DDC has large computation with many signal pulses. Then, in order to sort radar signals in real time, the improved DDC （IDDC） algorithm is proposed. Finally, PRI analysis is adopted to complete the process of sorting. The simulation experiments and hardware implementations show both algorithms are effective.

A feature extraction method for the signal sorting of interleaved radar pulse serial

In this paper, a new feature extraction method for radar pulse sequences is presented based on structure function and empirical mode decomposition. In this method, 2-D feature information was constituted by using radio frequency and time-of-arrival, which analyzed the feature of radar pulse sequences for the very first time by employing structure function and empirical mode decomposition. The experiment shows that the method can efficiently extract the frequency of a period-change radio frequency signal in a complex pulses environment and reveals a new feature for the signal sorting of interleaved radar pulse serial. This paper provides a novel way for extracting the new sorting feature of radar signals.

Network Sorting Algorithm of Multi-Frequency Signal with Adaptive SNR

An signal noise ratio（ SNR） adaptive sorting algorithm using the time-frequency（ TF）sparsity of frequency-hopping（ FH） signal is proposed in this paper. Firstly,the Gabor transformation is used as TF transformation in the system and a sorting model is established under undetermined condition; then the SNR adaptive pivot threshold setting method is used to find the TF single source. The mixed matrix is estimated according to the TF matrix of single source. Lastly,signal sorting is realized through improved subspace projection combined with relative power deviation of source. Theoretical analysis and simulation results showthat this algorithm has good effectiveness and performance.

Study on the role of JAK/STAT signaling pathway during chicken spermatogonial stem cells generation based on RNA-Seq

Spermatogonia! stem cells（SSCs） form the foundation for spermatogenesis and sustain male fertility.To explore the regulatory mechanisms of chicken SSCs generation,we obtained highly purified chicken embryonic stem cells（ESCs）,primordial germ cells（PGCs） and SSCs by fluorescence-activated cell sorting（FACS）.High-throughput analysis methods（RNA-Seq） were used to sequence the transcriptome level of these cells.Gene ontology and Kyoto encyclopedia of genes and genomes（KEGG） pathway enrichment were used to analyze RNA-Seq results.BMP4 was used to induce chicken ESCs differentiation to SSCs-like cells in vitro.The quantitative real-time（qRT）-PCR was used to detect the expression changes of the key genes.The results showed that 22 relevant critical pathways were found by RNA-Seq,one of them was the Janus kinase/signal transducer and activator of transcription（JAK/STAT） signaling pathway.Total of 103 related genes were detected in this pathway.Protein-protein interactions analysis found that 87 proteins were significantly related to 19 key proteins in this pathway.These 87 proteins were enriched in 21 biological processes and 18 signaling pathways.Moreover,during the differentiation of chicken ESCs to SSCs-like cells induced by BMP4 in vitro,JAK2 and STAT3 were activated.The qRT-PCR results showed that the expression trends of JAK2 and STAT3 were basically the same as in vivo.We concluded that JAK/STAT signaling pathway plays an important role in the process of chicken SSCs generation both in vivo and in vitro;it may achieve its function through multiple biological processes and other related pathways.

Magnaporthe Rab5 homologs show distinct functions in nerve growth factor(NGF)-mediated neurite outgrowth and cell differentiation

Nerve growth factor（NGF） binds to TrkA and forms a NGF/TrkA complex at the cell surface,which is then internalized into signaling endosomes and promotes neuronal survival and neurite outgrowth.The small GTPase Rab5 is reported to localize on the plasma membrane and early endosomes,regulating endosome fusion.It was reported that endogenous Rab5 function may need to be suppressed during NGF-induced neurite outgrowth and cell differentiation.Two Rab5 homologs（MoRab5A：MGG_06241 and MoRab5B：MGG_01185） were characterized from the rice blast fungus Magnaporthe oryzae,and MoRab5 B was identified as the Rab5 ortholog promoting early endosomal fusion,while MoRab5 A specialized to perform a non-redundant function in endosomal sorting.In this study,we examined whether MoRab5 A and MoRab5 B play different roles in NGF-induced neurite outgrowth and cell differentiation in PC12 cells（a rat pheochromocytoma cell line）.Our data showed that MoRab5 B is a negative regulator of NGF signaling and neurite outgrowth in PC12 cells,similar to human Rab5（hRab5）.MoRab5B：WT inhibits NGF signaling-dependent neurite outgrowth while the dominant-negative MoRab5 B mutant（MoRab5B：DN） enhances NGF signaling and neurite outgrowth.In contrast,MoRab5A：WT and MoRab5A：DN both significantly promote NGF-induced neurite outgrowth,indicating that MoRab5 B is more similar to hRab5 than MoRab5 A in the regulation of NGF signal transduction.

Design and research of signal-level airborne electronic reconnaissance simulation system

Airborne passive electronic reconnaissance equipment has developed rapidly during recent years.However,because of its expensive and unavailable military features,the simulation realization of these equipment needs to be solved.And the smaller the simulation particle is,the better the simulation system will be.In this study,a signal-level airborne electronic reconnaissance simulation system was built.Mathematical model and simulation realization of each part are introduced in this study.Focusing on the shortness of traditional signal sorting methods,we creatively proposed a presorting method based on the Euclidean distance inside signal flows.Simulation results show that the presorting method based on Euclidean distance successfully reduced the pressure on main sorting and appeared good for signal sorting.Simulation test results of each model built in this study are also shown in the study.This study provides a new thought on the realization of airborne electronic reconnaissance equipment and benefits the development of electronic countermeasure.

A Crucial Role of the RGS Domain in Trans- Golgi Network Export of AtRGS1 in the Protein Secretory Pathway

The secretory pathway is responsible for the transport of newly synthesized transmembrane proteins from the endoplasmic reticulum to their destinations via the Golgi/trans-Golgi network （TGN）, Cargo proteins at each sta- tion are actively sorted by specific sorting signals on the cargo and the corresponding coat complexes. Here, we used the Arabidopsis regulator of G-protein signaling （AtRGS1）, which contains an N-terminal potentially sensing glucose seven-transmembrane domain and a C-terminal RGS domain, as a model to uncover sorting motifs required for its cell surface expression. Expression of wild-type and truncated or mutated AtRGS1 fluorescent fusion proteins identified two cysteine residues in the extracellular N-terminus that are essential for endoplasmic reticulum exit and/or correct folding of AtRGS1. The linker between the seven-transmembrane and RGS domains contains an endoplasmic reticulum export signal, whereas the C-terminus is dispensable for the plasma membrane expression of AtRGS1. Interestingly, deletion of the RGS domain results in Golgi/TGN localization of the truncated AtRGS1. Further analysis using site-directed mutagen- esis showed that a tyrosine-based motif embedded in the RGS domain is essential for Golgi/TGN export of AtRGS1. These results reveal a new role for the RGS domain in regulating AtRGS1 trafficking from the Golgi/TGN to the plasma membrane and explain the interaction between the seven-transmembrane and RGS domains.