The operation and performance of a multi-frequency HF Surfacewave Radar

Emery, David; Dickel, G.

doi:10.1109/radar.2008.4720864

Cited by 5 publications

(4 citation statements)

References 1 publication

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“…The carrier frequency of each transmitting element is chosen in the guidance of current spectrum environment. Therefore, a frequency management subsystem should be cooperated to assist the main radar system which is already a common practice for currently deployed HF surface wave or skywave radars [38][39][40][41]. The frequency management subsystem monitors the spectrum environment, evaluates the monitoring results, and finally gives suggestions for frequency selection in real-time.…”

Section: Signal Model For the Mimo Sparse Frequency Fmcw Hfswr Systemmentioning

confidence: 99%

MIMO High Frequency Surface Wave Radar Using Sparse Frequency FMCW Signals

Pan

Chen

2017

International Journal of Antennas and Propagation

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The heavily congested radio frequency environment severely limits the signal bandwidth of the high frequency surface wave radar (HFSWR). Based on the concept of multiple-input multiple-output (MIMO) radar, we propose a MIMO sparse frequency HFSWR system to synthesize an equivalent large bandwidth waveform in the congested HF band. The utilized spectrum of the proposed system is discontinuous and irregularly distributed between different transmitting sensors. We investigate the sparse frequency modulated continuous wave (FMCW) signal and the corresponding deramping based receiver and signal processor specially. A general processing framework is presented for the proposed system. The crucial step is the range-azimuth processing and the sparsity of the carrier frequency causes the two-dimensional periodogram to fail when applied here. Therefore, we introduce the iterative adaptive approach (IAA) in the range-azimuth imaging. Based on the initial 1D IAA algorithm, we propose a modified 2D IAA which particularly fits the deramping processing based range-azimuth model. The proposed processing framework for MIMO sparse frequency FMCW HFSWR with the modified 2D IAA applied is shown to have a high resolution and be able to provide an accurate and clear range-azimuth image which benefits the following detection process.

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Section: Signal Model For the Mimo Sparse Frequency Fmcw Hfswr Systemmentioning

confidence: 99%

MIMO High Frequency Surface Wave Radar Using Sparse Frequency FMCW Signals

Pan

Chen

2017

International Journal of Antennas and Propagation

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“…High‐frequency surface wave radar (HFSWR) has been widely applied in sea surface dynamic parameters measurement and targets detection over the horizon [1]. Due to the dependence of radio propagation and scattering characteristics on frequency [2], a radar operating simultaneously at multiple frequencies is superior to that employs a single frequency in the following aspects: (i) A multi‐frequency (MF) radar using automated frequency management technique is less vulnerable to the intense radio interference in HF band [3]. (ii) HFSWR retrieves the sea current velocity at a certain depth based on the Bragg scattering mechanism and Doppler effect.…”

Section: Introductionmentioning

confidence: 99%

Fully digital multi‐frequency compact high‐frequency radar system for sea surface remote sensing

Tian

Wen

et al. 2019

IET Radar, Sonar & Navigation

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“…MHFSWR has the advantage to avoid targets becoming obscured by the Bragg peaks by selecting the radar operating frequencies. In addition, the merits of MHFSWR include mitigation against the effects of co‐channel interference and target radar cross‐section fade and so on [12–16].…”

Section: Introductionmentioning

confidence: 99%