In section 2 the adaptive filtering processing is described. The details of the FFT-based algorithm will not be described. The reader is referred to Doviak and Zrnic (1993) for an extensive discussion. Section 3 describes the practical implementation of both algorithms in the radar. In section 4 the results of both algorithms are discussed and compared. Section 5 outlines the advantages and dis...

In this article, we present an adaptive subaperture integration method for wide-angle synthetic aperture radar (SAR) improved imaging, with emphasis on short-to-medium range applications. order to avoid full-aperture integration, traditional approaches use fixed-width subapertures, which may not conform the persistence angle of scatterers. Coherent gains over are possible if is carried out scat...

In order to improve the speech acquisition ability of a non-contact method, a 94 GHz millimeter wave (MMW) radar sensor was employed to detect speech signals. This novel non-contact speech acquisition method was shown to have high directional sensitivity, and to be immune to strong acoustical disturbance. However, MMW radar speech is often degraded by combined sources of noise, which mainly inc...

We apply adaptive sensing techniques to the problem of locating sparse metallic scatterers using high-resolution, frequency modulated continuous wave W-band RADAR. Using a single detector, a frequency stepped source, and a lateral translation stage, inverse synthetic aperture RADAR reconstruction techniques are used to search for one or two wire scatterers within a specified range, while an ada...

Distributed collaborative adaptive sensing (DCAS) of the atmosphere is a new paradigm for detecting and predicting hazardous weather using a dense network of short-range, low-powered radars to sense the lowest few kilometers of the earth’s atmosphere. DCAS systems are collaborative in that the beams from multiple radars are actively coordinated in a sense-and-respond manner to achieve greater s...

Compressive sensing-based synthetic aperture radar (SAR) imaging has shown its superior capability in high-resolution image formation. However, most of those works focus on the scenes that can be sparsely represented in fixed spaces. When dealing with complicated scenes, these fixed spaces lack adaptivity in characterizing varied image contents. To solve this problem, a new compressive sensing-...