This paper reports results of an experimental program called the Mode Selection Experiment that was designed to demonstrate ionospheric mode selectivity on transmit over a one-way skywave propagation path. This corresponds to the transmitter-to-target part of the two-way propagation path used in an Over-the-Horizon Radar. The purpose of the experiment was to show that multiple-input multiple-ou...

The mission of a ground moving target indication (GMTI) radar, as its name implies, is to detect and classify ground-based vehicles, even ones with very low velocities. This type of radar can provide a wide area of coverage and frequent updates of a specific area of interest if the radar is placed on a satellite with a low earth orbit. However, because of the large footprint of the radar on the...

Monitoring of precipitation using higher frequency radar systems such as X-band is becoming popular. At X-band frequency, weather radar signals are attenuated along their paths due to precipitation. A network-based reflectivity retrieval technique has been developed for the Adaptive Sensing of the Atmosphere (CASA) system, which is a radar network that can observe a weather event simultaneously...

We investigate the theory of the finite Heisenberg-Weyl group in relation to the development of adaptive radar and to the construction of spreading sequences and error-correcting codes in communications. We contend that this group can form the basis for the representation of the radar environment in terms of operators on the space of waveforms. We also demonstrate, following recent developments...

Multiple-target tracking (MTT) is a prerequisite step for radar surveillance systems. Data association is the key technique used in radar MTT systems. This paper presents a new approach for data association that uses both quantity data and image information. In order to combine these two attributes, a fusion algorithm based on the competitive Hopfield neural network (CHNN) is developed to match...

Standard image processing techniques are not applicable to radar images because of the coherent nature of the sensor. Therefore there is a need to develop preprocessing techniques for radar images which will then allow these standard methods to be applied. A random field model for radar image data is developed. This model de~­ cribes the image data as the result of a mult1plicative-convolved pr...

Employing the autoregressive (AR) technique and the principle of displaced phase centre antenna (DPCA) we construct an optimum adaptive DPCA processor for moving target detection from airborne phased arrary radar data collected under nonDPCA conditions. It is fundamentally different from the existing adaptive DPCA which is not optimum. The number of range samples it needs to estimate its parame...

In this paper, we investigate the problem of low probability of intercept (LPI)-based adaptive radar waveform optimization in signal-dependent clutter for joint radar and cellular communication systems, where the radar system optimizes the transmitted waveform such that the interference caused to the cellular communication systems is strictly controlled. Assuming that the precise knowledge of t...

Clutter contamination is common in radar observations and is one of the major factors impacting quantitative applications. This can be particularly severe for ground based weather radar when observing the precipitation at low attitude and close range. Strong clutter can project observations with intense reflectivity as well as bias the Doppler moments. The NSF engineering research center of col...

The gradual transition of analog signal processing to the digital domain in radar and radio systems has led to advancements in beamforming techniques and, consequently, to new applications. The ability to steer beams digitally with great precision has radically changed the future of commercial and military radar system design. Adaptive beamforming algorithms have pushed the signal processing wo...