The technology for through-wall human detection with ultra-wideband (UWB) radar was discussed. Due to the large amount of UWB radar data, compressive sensing theory was introduced and compressed UWB radar data can be collected. The singular value decomposition algorithm was used to acquire the singular values of compressed radar data. The compressed UWB radar data were collected at two statuses...

In order to make full use of measurement information provided by sensors on the aerial carriers and efficiently make maneuvering target tracking under complicated conditions, this paper studies tracking methods of joint maneuvering target by airborne radar and Electronic Support Measure (ESM). Based on Interacted Multiple Model-Blue Linear Unbiased Estimation (IMM-BLUE) algorithm, this paper we...

In this paper, we consider moving target detection and ranging for indoor sensing applications in urban environments. A simple method is used to determine the unambiguous range of an indoor moving target using dual frequency continuous wave (CW) radars. The dual-frequency radar employs two different carrier frequencies and simultaneously measures the phase change with respect to time, for each ...

Safety and security applications benefit from better situational awareness. Radar micro-Doppler signatures from an observed target carry information about the target’s activity, and have potential to improve situational awareness. This article describes, compares, and discusses two methods to classify human activity based on radar micro-Doppler data. The first method extracts physically interpr...

Abstract Radar uses the scattering of electromagnetic waves to identify target coordinates and provide detection information. It plays a vital role in modern production military affairs. How classify recognize radar signals is one main problems current researches. With emergence various new radars, demand for high accuracy classification technology gradually increasing. Furthermore, traditional...

In this work we present a new algorithm that enable to perform automatic target recognition (ATR) in high-resolution synthetic aperture radar (SAR) data. According to the microwave backscattering theory and the three-dimension model of target, we calculate radar cross section (RCS) and correspondingly obtain the high resolution inverse synthetic aperture radar (ISAR) image of target. In order t...

Abslract--Many applications reported in artificial neural networks are associated with military problems. This paper reviews concepts associated with the processing o f military data to f ind and recognize targets----automatic target recognition ( A TR ). A general-purpose automatic target recognition system does not exist. The work presented here is demonstrated on military data, but it can on...