One-bit synthetic aperture radar (SAR) imaging has garnered significant interest due to its
ability to lower the cost of storing enormous amounts of data during sampling and …

Existing superpixel-based detection algorithms for ship targets in synthetic aperture radar
(SAR) images are often derived from the local contrast of intensities (ie, the local contrast of …

Current near-field millimeter-wave (MMW) imaging techniques are primarily designed for
high-precision quantitative data. Nevertheless, high-precision sampling leads to challenges …

In this paper, we consider distributed detection of sparse stochastic signals with quantized
measurements. Assume that both the noise and the dominant elements in sparse signals …

We consider the problem of target parameter estimation in phase modulated continuous
wave (PMCW) multiple-input multiple-output (MIMO) radar systems with quantized …

In this paper, we explore the distributed detection of sparse signals in energy-limited
clustered sensor networks (CSNs). For this problem, the centralized detector based on …

One-bit synthetic aperture radar (SAR) imaging technology has garnered significant
attention due to its ability to substantially reduce system complexity and data storage …

The non-ideal sparse representation (SR) and harmonics are universal problems in linear
frequency modulated (LFM) signal recovery from one-bit data contaminated by noise. Given …

This paper addresses the harmonic problem in one-bit linear frequency modulation (LFM)
signal recovery. We develop a novel quantization strategy with random thresholds to …

The application of one-bit sampling technology in synthetic aperture radar (SAR) systems
has great potential due to its attractive advantages such as fast sampling speed, low data …