Radar Reconnaissance Research Articles

Template matching algorithm of radar beam scan type recognition

Phased array radar has been applied broadly because of its sound performance. But signal of phased array radar is of a wide variety of types. Therefore, recognition of phased array radar is the most puzzling aspect of the whole emitter identification domain. To solve the problem, the article proposes the method that identifies phased array radar by pulse amplitude information, and studies the phased array radar, models transmit signal of them, and receiving signal by radar countermeasure reconnaissance receiver. From constructing template of pulse train’s amplitude vector of mechanical scanning radar, computing distance of samples and standard template, finding threshold of the template matching arithmetic, the article puts forward the template matching algorithm of radar beam scan type recognition to identify phased array radar automatically.

Design and Analysis of System for Radar Reconnaissance Based on UML

The design of the software in the training system of reconnaissance radar analysis, which is object-oriented, fully makes use of the development thought of UML. It makes clear the requirements of system function, constructs the use case digrams of the system and the relevant class diagrams. Using the tool of UML dynamic modeling, it respectively describes the scene generator module, radar signal generator module, reconnaissance radar analysis training module of the target system in detail. The users interface and the data base structure of the system are designed in great detail and all the subsystem in target system are designed and developed.

Research on Airborne Radar Reconnaissance Map Projection Location Error Correction Method

Airborne radar reconnaissance system will produce a map projection angle error in actual, which further causing the positioning error. To correct these errors, the paper proposed a map projection positioning error correction algorithm. The algorithm firstly calculate the reference point using the Mercator isometric projection, and then calculate map correction angle with the inverse projection, at last eliminating the error caused by reference distance estimation using the iterative cross positioning, which improving the location accuracy. Experiments show that this method is reasonable and effective.

Computation of Intercept Probability Based on Functional Simulation of Front-End Interception

Front-end intercept probability of reconnaissance equipment is a significant evaluation index of radar reconnaissance system. It shows the ability of discovering and detecting radar signal in the front of reconnaissance equipment. In order to obtain the relatively authentic intercept probability, first, rules of intercept judgment are elaborated. Then front-end interception is devised through the reconnaissance equipment functional simulation. Finally, intercept probability is calculated in Monte-Carlo simulation, and an application verification is realized. The result indicates the method of intercept probability computation is feasible and has certain application.

Study on Data Fusion Technologies of Artillery Radar Decision System

Aiming at improving the decision ability of artillery reconnaissance radar by map work and field reconnaissance, A decision evaluation system of networking artillery radar was realized. Basic principle, hardware structure and software structure of the system were discussed. This system is then developed with tools of VC++6.0 and SQLServer. According the principle of Least Squares and weight value of radar precision, the data fusion algorithm of exploding point data based on several networking radar was designed. The shooting results show that the system improves the automatic command ability and measure precision of exploding point.

Radar Emitter Signal Recognition Based on EMD and Neural Network

Radar emitter signal (RES) recognition is the important content in radar reconnaissance and signal processing. In order to study the problem of RES recognition, and to improve the RES recognition rate of the electronic warfare equipment, the empirical mode decomposition (EMD) theory and wavelet packet (WP) are introduced into RES feature extraction. A new RES recognition method is proposed based on WP, EMD and neural network (NN). It uses wavelet packet to finish decomposition, de-noising and reconstruction of the RES. Then obtain the intrinsic mode function (IMF) through EMD, which can embody the characteristics of the RES. The energy of each IMF are calculated and normalized, which would be regarded as the feature vector. By constructing back propagation neural network (BPNN) classifier and redial basis function neural network (RBFNN) classifier, it realizes the RES recognition finally. Experiment results show that the RES recognition method based on WP, EMD and NN is an effective recognition method, which can achieve satisfying correct recognition rate in a larger signal to noise ratio, and has certain reference value in follow-up in-depth study.

Design of real-time spectrum analysis applying DPX

It is important to grasp the spectrum's state within a period of time in electronic reconnaissance of mod-ern times.Digital phosphor technology(DPX) is a recent crucial innovation of real-time spectrum analysis technology.It can show the spectrum's state of a period of time intuitively by images and highly enhances the capability of capturing and observing signals and it can be applied to radar reconnaissance appropriately.To apply the DPX,the keystone of the DPX was introduced,the structure of the system was designed,and the hardware was put into execution.To color the DPX im-ages,this paper bringed forward a new method of pseudo-coloring coding based on RGB tricolor which named "take bit from binary number"(TBFBN).The results of practice have shown that the technology of DPX can show the sate of spec-trum directly and the method of pseudo-coloring of this paper boosted up the effect of DPX display and improved the abil-ity of observing and resolving power.

Modeling and Analyzing of Short-Range Air Defense Operation Based on Petri Net

According to analyze the characteristic of the operational progress of short-range air defense, Petri net (PN) is applied to describe the operational progress, which includes the radar reconnaissance, the operational plans decision-making, and the operational effectiveness evaluation. Based on study of the component model of short-range air defense, the corresponding PN model is established, and the time delay is also analyzed. The results indicate that PN is an effective tool for establishing dynamic system simulation model of complex discrete event.

Radar reconnaissance of near-Earth asteroids

AbstractRadar is a uniquely powerful source of information about near-Earth asteroid (NEA) physical properties and orbits. This review consists largely of edited excerpts from Ostro and Giorgini (2004).

Radar Reconnaissance of Near‐Earth Objects at the Dawn of the Next Millenniuma

ABSTRACT: Radar, the most powerful ground‐based technique for postdiscovery investigation of NEOs (near‐Earth objects), can contribute a great deal to their exploration as well as to identification and mitigation of hazardous objects. My intentions in this article are to review the current state of NEO radar reconnaissance, examine the imminent prospects for this work as upgraded instrumentation becomes available, and propose construction of a next‐generation radar telescope that, unlike any existing radar instrument, would be optimized for, and dedicated to, NEO radar.

Detection of Uranium from Cosmos-1402 in the Stratosphere

The nuclear reactor from the Soviet radar reconnaissance satellite, Cosmos-1402, reentered the earth's atmosphere on 7 February 1983 and disintegrated over the South Atlantic Ocean. The reactor was powered by approximately 50 kilograms of uranium-235 ((235)U). In an effort to determine the fate of the reactor core, a series of aerosol samples were collected at altitudes between 27 and 36 kilometers in the Northern Hemisphere approximately 1.1 years later by high-altitude balloons. At an altitude of 36 kilometers a 53 +/- 20 percent excess in the (235)U concentration was measured. The total excess of (235)U in the stratosphere was calculated to be 44 +/- 15 kilograms.

Ice Management To Support The Kulluk Drilling Vessel

Abstract A second-generation drilling vessel has been constructed to extend the drilling season in the Beaufort Sea through the use of a unique hull design, mooring system and icebreaking support vessels. The unique designs of the drilling vessel, icebreakers and supply boats are described. The Kulluk vessel, designed to drill in open water or newly-formed ice, commenced drilling in August 1983. It was soon called on to cope with the most severe ice conditions in nine years. The ice surveillance and ice management procedures employed in coping with the prematurely severe 1983 ice conditions are presented. Depending on the severity of the ice hazards colour code alerts were triggered which dictated the nature of the drilling operations permissible. A pre-requisite for operations is a knowledge of which ice features present a hazard to the drilling vessel. Operationally, the hazards must be detected using radar and visual reconnaissance from aircraft or vessels. Predictions of the velocity, trajectory and time of arrival of the hazardous features are made based on plots of radar and other information. Action is taken to mitigate the hazards through the use of the four powerful icebreakers and supply boats, biased tensioning of the mooring system, disconnecting the riser or, in the extreme event, moving from the location. The icebreaking vessels work at assigned distances from the drilling unit to either break floes and pressure ridges into less hazardous features or to deflect the floes away from a collision course. The ice management system for the Kulluk was put to a severe test in its first year of operation but it performed admirably well. Introduction The continental shelf of the Beaufort Sea has long been considered to have the potential for major oil and gas accumulations. During the period 1963 to 1969, offshore permits to explore for oil and gas were issued for the majority of the shelf which extends some 125 km to 175 km from shore to water depths of 200 m. The Geological Survey of Canada's average expectations of the hydrocarbon potential of the Beaufort Sea - Mackenzie Delta area are 1347 million m3 of oil and 1865 billion m3 of gas(l). Numerous encouraging hydrocarbon discoveries have been made in the Beaufort Sea since offshore drilling commenced in 1973. The commerciality of reserves will depend on many factors such as pay thickness and other reservoir characteristics' well productivities, reservoir depth, water depth, distance from shore, environmental forces, sea bottom conditions, capital and operating costs, crude oil prices and the fiscal regime. Sea ice conditions in the Beaufort Sea are such that the drilling season from conventional ice reinforced drillships is only 3 to 4 months. The second-generation drilling vessel, BeauDril's Kulluk, was constructed to extend the drilling season by commencing earlier in spring and drilling later in the fall. This increased capability is possible because of the unique designs of the Kulluk and vessels and the ice management procedures. Environmental monitoring and forecasting and vessel performance monitoring are key activities in extending the drilling season.

U.K. Exhibitors'

Aeronautical & General Instruments Ltd, will exhibit their R 128 recording cameras, designed to photograph the information displayed on the cathode ray tube of an aircraft's reconnaissance radar.