KEYWORDS: Radar signal processing, Radar sensor technology, Signal generators, Microwave photonics, Antennas, Digital signal processing, Receivers, Signal detection, Radar, Frequency modulation
Demonstration of LFMCW radar system by hardware-in-the-loop simulation based on tunable microwave photonics generated radar signal and electric receiving link is presented. The seed signal is given by Direct Digital Synthesis (DDS) with tunable signal wave forms, which can afford the system with different time-width and bandwidth. The microwave photonics electro-optic modulation and photoelectric transformation system turns the seed signal with low-frequency and narrow-bandwidth into the signal by 4 times at frequency carried on the laser through the dualparallel electro-optic modulator, and obtain the high-frequency and broadband radar signal after the photoelectric detector, and then transmit the radar signal into the input port of the hardware-in-the-loop simulator with time delay function. The radar signal is set as different delay corresponding to different transmission distance, such as 1km, 2km, and other distances. After the hardware-in-the-loop simulator with some distance delay, the signal is transmitted from the output ort of the hardware-in-the-loop simulator into the receiver. In the receiving link, the electric de-chirping method is carried out to down convert the radar echo signal. After electric ADC, the ranging data is processed. Two typical wave forms, such as the wave form with 1GHz bandwidth and 2ms pulse width, and the other wave form with 2GHz bandwidth and 8ms are operated through the system respectively. The demonstration by hardware-in-the-loop simulation has been given, and the experimental results show that the range of frequency modulated continuous wave radar based on this system can reach 5 km.
In recent years, the imaging theory and technology of missile-borne synthetic aperture radar (SAR) has become one of the important research topics. The missile-borne platform usually requires high-precision imaging from the front and side view, and the missile is affected by the airflow, and the flight trajectory changes greatly and randomly during the air flight. For this reason, a motion compensation algorithm is required. At the same time, due to the real-time and large computational requirements of missile-borne SAR imaging, it is of great significance to use a higher-performance graphics processing unit (GPU) platform for SAR time-domain imaging processing. This paper introduces the use of GPU to implement extended Wavenumber-domain (EOK) algorithm and large-squint motion compensation algorithms.
Aiming at the problems of difficult track initiation and high missed detection rate in dense clutter environment, this paper presents a method of multi-target hypothetical track initiation based on motion characteristics. Most of the traditional track initiation algorithms use the sequential start method, which has a great dependence on time. In this paper, a variety of hypotheses are generated by directly judging the correlation of the point track data, and the final track information is obtained by screening the formed temporary track according to the kinematic characteristics of the target. Experiments show that this method not only greatly improves the accuracy of track initiation in dense clutter environment and reduces the missed detection rate, but also has strong adaptability to track initiation of massive data.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.