This thesis reports on the design and implementation of a simulation of the Signal Processor Interface to the AN/SPY-1A Phased Array Radar Controller. Inherent to the simulation is the development of a representative time sensitive database of the targeting environment. The programming language Ada was utilized as a program development language in the design for the database. The developed Target Database utilizes the 20 mega-byte REMEX Data Warehouse 3200 memory storage unit. The simulation of the Signal Processor Interface will allow real time testing of the Naval Postgraduate School"s AN/ SPY-1A Radar Controller System Model.
|Contributions||Naval Postgraduate School (U.S.)|
|The Physical Object|
|Number of Pages||95|
Approved for public release; distribution is unlimitedThis thesis reports on the design and implementation of a simulation of the Signal Processor Interface to the AN/SPY-1A Phased Array Radar Controller. Inherent to the simulation is the development of a representative Author: Todd B. Kersh. AN/SPY-1 Radar. The heart of the AEGIS systems is an advanced, automatic detect and track, multifunctional phased-array radar, the AN/SPY This high-powered (4 MW) radar . Define Radar Signal Processing Chain. The radar collects multiple sweeps of the waveform on each of the linear phased array antenna elements. These collected sweeps form a data cube, which is defined in Radar Data Cube (Phased Array System Toolbox).These sweeps are coherently processed along the fast- and slow-time dimensions of the data cube to estimate the range and Doppler of the vehicles. ELSEVIER Computers and Electronics in Agriculture 15 () Computers and electronics in agriculture Signal processing in a novel radar system for monitoring insect migration A.D. Smith, J.R. Riley Natural Resources Institute, NRI Radar Unit, North Site, Leigh Sinton Road, Malvern, Worcestershire WR14 ILL, UK Accepted 20 March Abstract A vertical-looking radar (VLR) has .
A general radar echo simulator system proposed in this paper is to satisfy the various needs of the radar signal processor testing. This simulator is based on the type of echo data playback device, the surface target echo data is pre-calculated and stored in the device at first, then according to the external timing PRI signal, echo data is read out to the device processor, on which target. The system of radar echo signal simulation, processing and display is developed for testing performance of advanced arithmetic in radar signal processing, which may accelerate converting those. The paper addressed how to design the software radar signal processor based on the software defined radio structure, and discussed the reasons for using the DSP+FPGA and offered an insight into fix on the important parameters of software radio. Attention is concentrated on the construction of algorithm model, simulation the algorithm by Simulink, and some methods for algorithm and architecture. PDW simulator in ESM System. MIT OpenCourseWare. pyAPRiL is a python based signal processing library which implements passive radar signal processing algorithms. “Most realistic flight simulator” – PC Gamer, Sep. A SendGrid island was created as a unique way to test their software with our coders by having them solve missions in the game.
The AN/MPQ Sentinel provides persistent air surveillance and fire control quality data through command and control systems to defeat Unmanned Aerial Systems (UAS), cruise missiles and fixed- and rotary-wing aircraft threats. The system features an X-Band, degree phased array air defense radar with a km instrumented range. A radar signal processor of 24GHz UWB pulse radar for automotive short-range application is presented. A FPGA-based architecture for this signal processor is proposed to fulfil the real-time. We will include the radar transmitter and receiver, the radar signal processing algorithms, speed control, and 3D animation. We will also show you how you can model nonlinearities and noise effects at the radar component level, which will also allow you to analyze performance and explore parameters of the system components. The Tensilica Fusion F1 DSP offers low energy, high performance control and signal processing for a broad segment of IoT/wearable markets. This highly configurable architecture is specifically designed to excel at always-on processing - including wake-on-voice and sensor fusion applications - that require a merged controller plus DSP, ultra-low.