scholarly journals Stationary Time Statistical Property of Ionospheric Clutter in High-Frequency Surface-Wave Radar

2019 ◽  
Vol 2019 ◽  
pp. 1-6
Author(s):  
Shang Shang ◽  
Kangning He ◽  
Zhaobin Wang ◽  
Xuguang Yang
Keyword(s):  
Surface Wave ◽  
High Frequency ◽  
Real Data ◽  
Radar System ◽  
Detection Performance ◽  
Frequency Selection ◽  
Statistical Property ◽  
Stationary Time ◽  
Wave Radar

In HFSWR (high-frequency surface-wave radar) system, the detection performance is impacted seriously by ionospheric clutter. Frequency selection is an effective method to avoid the effect of ionospheric clutter. The key to the method is the stationarity of ionospheric clutter over a period of time. This paper mainly researches the stationary time statistical property of the ionospheric clutter. A large number of real data including ionospheric clutter in HFSWR are processed and analyzed. It shows that ionospheric clutter in HFSWR has the characteristics of approximate stationarity within a period of time.

scholarly journals A Single-Dataset-Based Pre-Processing Joint Domain Localized Algorithm for Clutter-Suppression in Shipborne High-Frequency Surface-Wave Radar

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3773
Author(s):  
Liang Guo ◽  
Xin Zhang ◽  
Di Yao ◽  
Qiang Yang ◽  
Yang Bai ◽  
...  
Keyword(s):  
Surface Wave ◽  
High Frequency ◽  
Secondary Data ◽  
Real Data ◽  
Training Sample ◽  
Clutter Suppression ◽  
Low Velocity ◽  
Unscented Transformation ◽  
Wave Radar ◽  
Suppression Method

Due to the motion of the platform, the spectrum of first-order sea clutter will widen and mask low-velocity targets such as ships in shipborne high-frequency surface-wave radar (HFSWR). Limited by the quantity of qualified training samples, the performance of the generally used clutter-suppression method, space–time adaptive processing (STAP) degrades in shipborne HFSWR. To deal with this problem, an innovative training sample acquisition method is proposed, in the area of joint domain localized (JDL) reduced-rank STAP. In this clutter-suppression method, based on a single range of cell data, the unscented transformation is introduced as a preprocessing step to obtain adequate homogeneous secondary data and roughly estimated clutter covariance matrix (CCM). The accurate CCM is calculated by integrating the approximate CCM of different range of cells. Compared with existing clutter-suppression algorithms for shipborne HFSWR, the proposed approach has a better signal-to-clutter-plus-noise ratio (SCNR) improvement tested by real data.

Ocean Surface Current Extraction Scheme With High-Frequency Distributed Hybrid Sky-Surface Wave Radar System

2018 ◽  
Vol 56 (8) ◽  
pp. 4678-4690 ◽  
Author(s):  
Miao Li ◽  
Lan Zhang ◽  
Xiongbin Wu ◽  
Xianchang Yue ◽  
William J. Emery ◽  
...  
Keyword(s):  
Surface Wave ◽  
High Frequency ◽  
Surface Current ◽  
Ocean Surface ◽  
Radar System ◽  
Wave Radar ◽  
Extraction Scheme ◽  
Ocean Surface Current

scholarly journals Research on Polarization Cancellation of Nonstationary Ionosphere Clutter in HF Radar System

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Xingpeng Mao ◽  
Hong Hong ◽  
Weibo Deng ◽  
Yongtan Liu
Keyword(s):  
Surface Wave ◽  
Time Domain ◽  
High Frequency ◽  
Interference Cancellation ◽  
Radar System ◽  
Experimental Results ◽  
Hf Radar ◽  
Oblique Projection ◽  
Polarization Filter ◽  
Wave Radar

Oblique projection polarization filter (OPPF) can be applied as an effective approach for interference cancellation in high-frequency surface wave radar (HFSWR) and other systems. In order to suppress the nonstationary ionosphere clutter further, a novel OPPF based clutter suppressing scheme is proposed in this paper. The polarization and nonstationary characteristic of the clutter are taken into account in the algorithms referred to as range-Doppler domain polarization suppression (RDDPS) and the range-time domain polarization suppression (RTDPS) method, respectively. The RDDPS is designed for weak ionosphere clutter and implemented in the range-Doppler domain directly, whereas the RTDPS algorithm is designed to suppress the powerful ionosphere clutter with a multisegment estimation and suppression scheme. About 15–23 dB signal to interference ratio (SIR) improvement can be excepted when using the proposed method, whereas the targets can be more easily detected in the range-Doppler map. Experimental results demonstrate that the scheme proposed is effective for nonstationary ionosphere clutter and is proven to be a practical interference cancellation technique for HFSWR.

scholarly journals A Modified STAP Estimator for Superresolution of Multiple Signals

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Zhongbao Wang ◽  
Junhao Xie ◽  
Zilong Ma ◽  
Taifan Quan
Keyword(s):  
Remote Sensing ◽  
Data Analysis ◽  
Surface Wave ◽  
High Frequency ◽  
Real Data ◽  
Multiple Signals ◽  
First Order ◽  
Wave Radar ◽  
Simulation Results ◽  
Space Time Adaptive Processing

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 for the superresolution of multiple signals. It is a potential technique for the remote sensing of the ocean currents from the broadened first-order Bragg sea echo spectrum of shipborne high-frequency surface wave radar (HFSWR). Some simulation results and real-data analysis are shown to validate the proposed algorithm.

scholarly journals The Application of JDL to Suppress Sea Clutter for Shipborne HFSWR

2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Zhenyuan Ji ◽  
Chunlei Yi ◽  
Junhao Xie ◽  
Yang Li
Keyword(s):  
Surface Wave ◽  
High Frequency ◽  
Real Data ◽  
The Novel ◽  
Clutter Suppression ◽  
Sea Clutter ◽  
Digital Beamforming ◽  
Wave Radar ◽  
Novel Method ◽  
2D Fft

This paper deals with the problem of sea clutter suppression for shipborne high frequency surface wave radar (HFSWR) based on the joint domain localized (JDL) adaptive processing algorithm. The performance of the novel method is compared with 2D FFT plus digital beamforming (FFT-DBF) and orthogonal weight in different azimuths. The results based on simulated and real data show that the novel method provides higher detection performance than others.

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