Abstract: The MIMO phased array radar is a theoretical concept for multi-sensor radar planning that combines elements of traditional phased-array radar with the developing technology of multiple-input multiple output (MIMO) radar. Space-time coding (STC) has been shown to play a key role in the design of Phased Array MIMO radar where MIMO radar can achieve improved localization performance by ...

Radar sensor networks, including biand multi-static radars, provide several operational advantages, like reduced vulnerability, good system flexibility and an increased radar cross-section. However, radar-to-radar interference suppression is a major problem in distributed radar sensor networks. In this paper, we present a cross-matched filtering-based radar-to-radar interference suppression alg...

abstract according to the adventages of passive radars they have been reconsidered recently due to development of signal processing technology. in the field of sea targets detection using passive radar few research have been reported. this paper presents a new method to detect sea targets using adaptive filter weights variation model and using the fact that the radar cross section of sea target...

Radar Signal Processing has been an interesting area of research for realization of programmable digital signal processor using VLSI design techniques. Digital Signal Processing (DSP) algorithms have been an integral design methodology for implementation of high speed application specific real-time systems especially for high resolution radar. CORDIC algorithm, in recent times, is turned out to...

Snow crystals consist of many different types of ice particles. Typical radar measurements observe only bulk properties of all types of ice particles present in a radar volume. Due to their difference in cross-section, large particles will reflect more power of the transmitted radar signal than small particles. If small and large particles are present in the same radar volume with comparable vo...

The paper deals with Radar Target Classification based on the use of a neural network. A radar signal was acquired from the output of a J frequency band non-coherent radar. We applied the three layer feed forward neural network using backpropagation learning algorithm. We defined classes of radar targets and designated each of them by its number. Our classification process resulted in number of...

Target tracking and missile tracking radars and the radar test set on a block. Function of the acquisition radar system and the TTR and target ranging radar.in location-aware systems and services. In this paper we present RADAR, a radio-frequency RF based system for locating and tracking users inside buildings.dent laboratory model of the radar system that can be used for monopulse tracking. Ur...

Scientists have explored that WiMAX has the potential to enhance the performance of the radar networks. With the idea of implementing MIMO (multi-input multi-output) communication technology for overcoming the challenges offered by hostile channel and environmental effects.It leads the technocrats to utilize this technology in radar operations. WiMAX MIMO can exploit the range of WiMAX and the ...

The performance of multiple input multiple output (MIMO) radar configurations of distributed antennas are analyzed. Statistical multiple input multiple output (MIMO) radar develops angular diversity to mitigate the impact of radar cross section fluctuations (RCF). The fluctuations can be modeled with scattering model consists of non-orthogonal waveforms for fast target or radar cross section fl...

The accuracy of radar-based rain rates is limited by the calibration of radar reflectivity (ZH), which must be measured within 1 dB for rainfall estimates to have an accuracy of 15%. Several approaches to radar calibration have been undertaken which are summarized in Atlas (2002). The receive component of the radar can be calibrated using a transmitter with a known signal strength. Transmit and...