Results 11 to 20 of about 93 (64)
A Modified STAP Estimator for Superresolution of Multiple Signals
A modified space-time adaptive processing (STAP) estimator is described in this paper. The estimator combines the incremental multiparameter (IMP) algorithm and the existing beam-space preprocessing techniques yielding a computationally cheap algorithm ...
Zhongbao Wang +3 more
doaj +2 more sources
Ocean surface cross sections for shipborne HFSWR with sway motion [PDF]
AbstractTo interpret the essential characteristics of the sea echo backscattered from the ocean surface, the first‐ and second‐order ocean surface cross sections are mathematically derived for an omnidirectional receiving sensor in monostatic shipborne high‐frequency surface wave radar (HFSWR), where the uniform linear motion and sway motion are ...
Minglei Sun, Junhao Xie, Guowei Yao
exaly +2 more sources
Motion Parameter Identification and Motion Compensation for Shipborne HFSWR by Using the Reference RF Signal Generated at the Shore [PDF]
The shipborne high-frequency surface wave radar (HFSWR) platform produces six degrees of freedom (DOF) motion at sea, which affects the performance of radar target detection and remote sensing of ocean surface dynamics parameters. Motion compensation can
Di Zhu +5 more
doaj +2 more sources
First‐order ocean surface cross‐section for shipborne HFSWR
Onshore high‐frequency surface wave radar (HFSWR) has been successfully deployed for early warning and ocean remote sensing. However, there remain potential gaps in ocean remote sensing for shipborne HFSWR. Based on the first‐order bistatic field equation, the first‐order ocean surface cross‐section for shipborne HFSWR is derived, whose validity is ...
Junhao Xie, Minglei Sun
exaly +2 more sources
Prediction cancellation method of sea clutter in shipborne HFSWR
Sea clutter has a serious influence on the detection performance of a shipborne high‐frequency surface wave radar (HFSWR) system, especially when the target is submerged in the spread Doppler spectrum of the first‐order sea clutter. A prediction cancellation (PC) method based on the radial basis function neural network (RBFNN) is put forward to ...
Chunlei Yi, Junhao Xie
exaly +2 more sources
The article considers the case of a monostatic HF radar configuration where the transmitting antenna is on a floating platform while the receiving antenna is fixed. The proposed non‐linear optimisation‐based method in this article is able to successfully estimate the parameters of motion of the floating platform without prior knowledge of them and is ...
Sepideh Hashemi +2 more
wiley +1 more source
Abstract In the past few decades, the target location methods in transmit/receive‐receive (T/R‐R) synergetic High Frequency Surface Wave Radar (HFSWR) have received extensive attention from the signal processing community. However, there are few studies on the method of parameter pair‐matching for multi‐target scene.
Yang Bai +3 more
wiley +1 more source
Coast–Ship Bistatic HF Surface Wave Radar: Simulation Analysis and Experimental Verification
The coast−ship bistatic high-frequency surface wave radar (HFSWR) not only has the anti-interference advantages of the coast-based bistatic HFSWR, but also has the advantages of maneuverability and an extended detection area of the shipborne HFSWR.
Yonggang Ji +8 more
doaj +1 more source
Application of joint domain localised matrix CFAR detector for HFSWR
Target detection is one of the most important parts of high‐frequency surface wave radar (HFSWR) signal processing, to find targets in noise or clutter and obtain targets’ information. However, some factors, such as the influence of clutter and the increase of detection range, will degrade the signal‐to‐clutter ratio (SCR). In the low SCR scenario, the
Lei Ye +3 more
wiley +1 more source
The high‐frequency hybrid sky‐surface wave radar (HFSSWR) is a new kind of over‐the‐horizon radar system. Combining the advantages of both the sky wave radar and the surface wave radar, HFSSWR has drawn much attention in recent years. But the new system also brings new challenges.
Jiazhi Zhang +5 more
wiley +1 more source

