Synthetic aperture radar (SAR) images are widely used in target recognition tasks nowadays. In this letter, we propose an automatic approach for radar shadow detection and extraction from SAR images utilizing geometric projections along with the digital elevation model (DEM) which corresponds to the given geo-referenced SAR image. First, the DEM is rotated into the radar geometry so that each r...

Synthetic Aperture Radar (SAR) imaging is an expensive endeavor. It can be difficult for universities, small business, or individuals to experiment with SAR imaging and algorithm development on a low budget. For this reason, a uniquely inexpensive solution to FrequencyModulated Continuous-Wave (FMCW) radar was developed and then utilized as an ultra low cost SAR imaging system. This unique appr...

In this article, a novel bicepstrum-based approach is suggested for ground moving radar target classification. Distinctive classification features were extracted from short-time backscattering bispectrum estimates of the micro-Doppler signature. Real radar data were obtained using surveillance Doppler microwave radar operating at 34 GHz. Classifier performance was studied in detail using the Ga...

In this paper, a new millimeter wave 3D imaging radar is proposed. The user just needs to move the radar along a circular track, and high resolution 3D imaging can be generated. The proposed radar uses the movement of itself to synthesize a large aperture in both the azimuth and elevation directions. It can utilize inverse Radon transform to resolve 3D imaging. To improve the sensing result, th...

This paper presents both numeric simulations and radar measurements related to through the wall imaging technologies. We present synthetic aperture radar (SAR) images obtained by the Army Research Laboratory (ARL) Forward-Looking Radar system during field experiments and compare those with the results of our Xpatch computer models. We also demonstrate a computational approach based on the Finit...

The authors, in their article, summarize a mixed-models approach applied to the analysis of radar tracking residuals from calibration satellites observed by the Cobra Dane radar. They found that each of the calibration satellites makes its own idiosyncratic contribution to the observed radar tracking residuals. When properly accounted for, these idiosyncrasies increase the statistical power to ...

This paper presents a new ground penetrating radar (GPR) design approach using orthogonal frequency division multiplexing (OFDM) and compressive sensing (CS) algorithms. OFDM technique is applied to leverage GPR operating speed with multiple frequency tones transmission and receiving concurrently, and CS technique allows utilizing reduced frequency tones without compromising data reconstruction...

We investigate effects of non-uniform beam-filling on TRMM PR rain retrieval using data from the NASAIJPL Airborne Rain MApping Radar (ARMAR) acquired during TOGA COARE in early 1993. Our approach is to simulate TRMM PR observations using the ARMAR data and compare the radar observable and retrieved rain rate from the simulated PR data with those corresponding to the high-resolution radar measu...

The forward looking radar imaging task is a practical and challenging problem for adverse weather aircraft landing industry. Deconvolution method can realize the forward looking imaging but it often leads to the noise amplification in the radar image. In this paper, a forward looking radar imaging based on deconvolution method is presented for adverse weather aircraft landing. We first present ...

Localization and detecting weak signal are the challenging tasks in radar systems. Radar performance can be enhanced by mounting the receiver output signal-to-noise ratio (SNR). In this paper, a novel approach based on Curvelet transform for detecting weak radar signal is proposed. We applied the curvelet transform and modulus maximum to detect the locations of laser radar echo signal. Localizi...