To solve the problems of the major kinds of microwave radars to meet the ranging needs of vibrating constructions, a new type of radar system for ranging is proposed based on the carrier modulation and heterodyne phase difference detecting with time-to-digital converter (TDC). In the radar system, an intermediate frequency (IF) signal is used to modulate the amplitude of radio frequency (RF) ca...

We present an overview of independent component analysis, an emerging signal processing technique based on neural networks, with the aim to provide an up-to-date survey of the theoretical streams in this discipline and of the current applications in the engineering area. We also focus on a particular application, dealing with a remote sensing technique based on synthetic aperture radar imagery ...

Signal processing is an exciting area of research and development. Much recent progress has been driven by applications involving speech and audio processing, image and video processing, radar, sonar, and seismology. The purpose of this technical comment will be to highlight some of the relations between signal processing and control. The two areas share many common methodologies for analysis, ...

In this paper, a detector/estimator is proposed for compressed sensing radars, which does not need to reconstruct the radar signal, and which works directly from compressive measurements. More precisely, through direct processing of the measurements, and without the need for reconstructing the original radar signal, the system performs target detection, and then estimates range, Doppler frequen...

A major challenge in UWB signal processing is the requirement for very high sampling rate under Shannon-Nyquist sampling theorem which exceeds the current ADC capacity. Radar signal is essentially a delayed and scaled version of the transmitted pulse, determined by sparse parameters such as time delays and amplitudes. A system for sampling UWB radar signal at an ultralow sampling rate based on ...

In this paper, we propose a distance estimation scheme for radar systems using direct sequence ultra wideband (DS-UWB) signals. The proposed distance estimation scheme averages out the noise by accumulating the correlator outputs of the radar, and thus, helps the radar to employ a short-length DS-UWB signal reducing the correlation processing time. Numerical results confirm that the proposed di...

A growing trend in Satellite communication (Satcom) and Radar systems in the aerospace and defense market is the need for increased signal and analysis bandwidth and processing gain. Satcom systems are being driven by demands for increased data rates, while modern Radar systems require more processing gain to improve range resolution, which in turn drives wider modulation bandwidths. Modern Rad...

We propose RSFT, which is an extension of the one dimensional Sparse Fourier Transform algorithm to higher dimensions in a way that it can be applied to real, noisy data. The RSFT allows for off-grid frequencies. Furthermore, by incorporating Neyman-Pearson detection, the frequency detection stages in RSFT do not require knowledge of the exact sparsity of the signal and are more robust to noise...

This thesis presents selected research papers and patents written by Simon Watts between 1985 and 2012 on the topic of the modelling of radar sea clutter. This work has been based on the development and exploitation of the compound K distribution model for the amplitude statistics of radar sea clutter. It has covered the development of the model, through the analysis of recorded radar data, to ...

With the development of digital processing technology, digital receivers have wide applications in radar systems as well as wireless communications systems. In the digital receivers with intermediate frequency (IF) sampling technique, the analog-to-digital converter (ADC) directly converts IF signal into digital format prior to detection. And the digital signal processor (DSP) using Hilbert tra...