Modern Radar Signal Processor (original) (raw)
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Application Of Digital Signal Processing In Radar Signals
2013
There has been explosive growth in Digital Signal Processing theory and applications over the years. This research explores the applications of digital signal processing in Radar. A survey on applications in digital signal processing in Radar from a wide variety of areas is carried out. A review is done on basic approaching models and techniques of signal processing for different parameters and extracting information from the received signal. The various techniques adopted at different stages of radar to obtain the target’s signature, is
Radar Signal and Image Processing
1 -1 I I 1. Example of radar operational scenario: transmitter, receiver, target, noise, and clutter. r 7 Trihedral Cavity I -I A 2. Examples of manmade targets: surface, edge, corner, trihedral, and cavity.
2017
RADAR is an electromagnetic system for the detection and location of target objects such as aircraft, ships, spacecraft, vehicles, people, and the natural environment which can refl ect a signal back. It uses electromagnetic radio waves to determine the angle, range, or velocity of objects. RADAR was developed by various nations before and during Second World War. RADAR is a classic example of an electronic engineering system that utilizes many of the specialized elements of technology practiced by electrical engineers, including signal processing, data processing, waveform design, electromagnetic scattering, detection, parameter estimation, information extraction, antennas, propagation transmitters, and receivers. This paper gives an outline of RADAR principle and some of the RADAR applications, which range from air traffi c control, forest and climate monitoring and the monitoring of natural disasters, to name just a few.
Software Radar signal processing
Annales Geophysicae, 2005
Software infrastructure is a growing part of modern radio science systems. As part of developing a generic infrastructure for implementing Software Radar systems, we have developed a set of reusable signal processing components. These components are generic softwarebased implementations for use on general purpose computing systems. The components allow for the implementation of signal processing chains for radio frequency signal reception, correlation-based data processing, and crosscorrelation-based interferometry.
Adaptive Coding, Modulation and Filtering of Radar Signals
Topics in Radar Signal Processing, 2018
In this chapter, some of the issues associated with radar signal processing are highlighted, with an emphasis on adaptability. Signal processing operations are carried by systems in order to enhance the received signal or to clarify its content of information. Received radar signal should be subjected to processing prior totheextractionofusefultargetinformation out of it so as to emphasize desired signal among other accompanying signals. Processing of the radio frequency (RF) signal is generally done in an analogue manner, while digital signal processing (DSP) became dominant in the intermediate-frequency (IF) and lowfrequency portions of the system. Since the detectability and immunity against interference and clutter strongly depend on the waveform used, it will be more efficient to apply a diverse waveform instead of confinement to an invariable waveform of a fixed code and pattern. Adaptive coding, modulation and filtering of radar signals provide high degree of diversity as well as flexibility and agility for signal processors versus changing sources of interference and environmentally dependent reflectors. Constant false alarm rate (CFAR) is an adaptive processing technique that reduces noise and clutter. Different methods are applied in CFAR technique to adaptively cope with varying clutter density and distribution.
A Comprehensive Review of Radar System Technology
Our ability to align with the trend of innovations in science and technology will not only emancipate ignorance but also unfold our ability to evaluate, understand and predicate possibilities in our society, environment and the world at large. Radar system technology gives us the privilege to achieve the above-mentioned fact. The word Radar is an acronym for Radio Detection and Ranging. It is a means of getting information about a distant target, by sending electromagnetic waves to them and analysing the echoes from the target to generate relevant reports about the target. This paper seeks to x-ray the applications of radar technology in every sphere of human life, derivation of the basic radar equations for monstatic radar case and bistaic radar case, the effect of losses on the derived radar equations and the extraction of six relevant information about the target from the received radar echo signal. The advantages and limitations of continuous wave (c-w) radar and Pulse radar systems were also highlighted.
A SURVEY OF DIGITAL METHODS FOR RADAR DATA PROCESSING
This paper reviews the growing number of declassified techniques for automatic processing of radar data by digital means. Emphasis is placed upon signal time-sampling and quantization. integration methods. rejection of stationary targets. radar trigger manipulation. and treatment of radar beacon code data. These techniques are discussed individually and are also shown combined in a hypothetical radar data processor design.
Radar (acronym for Radio Detection and Ranging) is an object-detection system that uses radio waves to determine the range, altitude, direction, or speed of objects. It can be used to detect aircraft, ships, spacecraft, guided missiles, motor vehicles, weather formations, and terrain. The radar dish or antenna transmits pulses of radio waves or microwaves that bounce off any object in their path. The object returns a tiny part of the wave's energy to a dish or antenna that is usually located at the same site as the transmitter.
Digital Filters for Radar Signal Processing
2016
Digital filtering is one of the most powerful tools of Radar Signal Processing. Filtering of radar signals frequently take place to realize a certain task, such as interference reduction or Doppler processing to remove clutter. In this paper a digital filter is proposed to be designed to reject the out of band interference. Higher SNR can be obtained to enhance the detection of targets inside noise if the filter is matched to the expected radar signal, even if it caused signal distortion. Doppler processing makes use of digital filters to cancel signals from fixed and slow targets. The proposed filter would be designed as digital filters to eliminate interference and clutter and blindness that caused by targets of higher speeds. Matlab simulations are made to observe features and limitations of the proposed digital filters. Windowing function is used to modify to achieve the best