This paper presents a methodology for high resolution radar image generation and automatic target recognition emphasizing the computational cost involved in the process. In order to obtain focused inverse synthetic aperture radar (ISAR) images certain signal processing algorithms must be applied to the information sensed by the radar. From actual data collected by radar the stages and algorithm...

A novel RFID inverse synthetic aperture radar (ISAR)-synthetic (SAR) localization method is proposed and demonstrated which exploits reference tags with known locations to estimate the trajectory of a mobile platform locate target unknown locations. system that integrates robot an integrated reader antenna used obtain phase measurements both when moving along its trajectory. The ISAR algorithm ...

Air-to-sea surveillance and tracking systems that provide rapid and positive identification of Non-Cooperative and Stealthy Targets (NCSTs) are connected with Inverse Synthetic Aperture Radar (ISAR) concepts and techniques. ISAR has several shortcomings that could be dealt with the contribution of a Phase Comparison Monopulse system. This paper presents the possible output for the height dimens...

The utilization of global navigation satellite system (GNSS) signals for remote sensing has been a hot topic recently. In this article, the feasibility GNSS-based passive inverse synthetic aperture radar (P-ISAR) is analyzed. P-ISAR can generate two-dimensional image moving target, providing an estimation target size, which very important information in recognition. An effective imaging algorit...

The traditional inverse synthetic aperture radar (ISAR) imaging uses matched filtering and pulse accumulation methods. When improving the resolution real-time performance, there are some problems, such as high sampling rate large amount of data. Although compressed sensing (CS) method can realize high-resolution with small data, sparse reconstruction algorithm has computational complexity is ti...

Following the recent advancements in radar technologies, research on automatic target recognition using Inverse Synthetic Aperture Radar (ISAR) has correspondingly seen more attention and activity. ISAR automatic target recognition researchers aim to fully automate recognition and classification of military vehicles, but because radar images often do not present a clear image of what they detec...

ISAR imaging of ships at sea with significant motion results in the Doppler frequency shift for the received signal is time-varying, which will deteriorate the ISAR image quality for the Range-Doppler (RD) algorithm. In this paper, the received signal is modeled as a multicomponent cubic phase signal (CPS), and a new method for estimating the parameters of CPS based on the integrated high-order...

This paper analysis the characteristics and ambiguity function of the single-channel and multichannel DVB-T signals, and choose the multi-channel DVB-T signal as opportunity illuminators to do the research of ISAR imaging. Firstly, the target’s echo using single-in-multi-out mode for passive ISAR image is derived, together with the analysis of the composition of the echo’s spatial spectrum. Con...

The range profile (RP) and the inverse synthetic aperture radar (ISAR) image are the useful radar signatures for classifying unknown targets because they can be used regardless of daynight and weather conditions. Since classification that uses RP and ISAR is heavily dependent on flight conditions, however, much more study is required on this topic. This paper proposes an efficient method of cla...