Sea Clutter Cancellation for Passive Radar Sensor Exploiting Multi-Channel Adaptive Filters

Liu, Shengheng; Ma, Yahui; Huang, Yongming

doi:10.1109/jsen.2018.2879879

Cited by 52 publications

(23 citation statements)

References 26 publications

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“…Liu et al [102] designed the multichannel adaptive filters to achieve effective clutter suppression and target signal preservation. Robust adaptive signal processing methods for heterogeneous radar clutter scenarios were measured by Rangaswamy et al [103] with the self-adaptive method [104].…”

Section: Processing Methods Performance Improvement Aspect Detailsmentioning

confidence: 99%

Processing Technology Based on Radar Signal Design and Classification

Zhang

Zhan

2020

International Journal of Aerospace Engineering

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It is well known that the application of radar is becoming more and more popular with the development of the signal technology progress. This paper lists the current radar signal research, the technical progress achieved, and the existing limitations. According to radar signal respective characteristics, the design and classification of the radar signal are introduced to reflect signal’s differences and advantages. The multidisciplinary processing technology of the radar signal is classified and compared in details referring to adaptive radar signal process, pulse signal management, digital filtering signal mode, and Doppler method. The transmission process of radar signal is summarized, including the transmission steps of radar signal, the factors affecting radar signal transmission, and radar information screening. The design method of radar signal and the corresponding signal characteristics are compared in terms of performance improvement. Radar signal classification method and related influencing factors are also contrasted and narrated. Radar signal processing technology is described in detail including multidisciplinary technology synthesis. Adaptive radar signal process, pulse compression management, and digital filtering Doppler method are very effective technical means, which has its own unique advantages. At last, the future research trends and challenges of technologies of the radar signals are proposed. The conclusions obtained are beneficial to promote the further promotion applications both in theory and practice. The study work of this paper will be useful for choosing more reasonable radar signal processing technology methods.

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Section: Processing Methods Performance Improvement Aspect Detailsmentioning

confidence: 99%

Processing Technology Based on Radar Signal Design and Classification

Zhang

Zhan

2020

International Journal of Aerospace Engineering

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“…The uniform linear array (ULA) is exploited to receive the echoes. The neuron numbers of input, hidden, and output layers are set as [1,8,10] respectively. The interval of adjacent array elements is the half-wavelength.…”

Section: Simulationmentioning

confidence: 99%

“…The traditional PBR, which is equipped to the ground platform, exploits the civilian or commercial signal as the opportunity illuminator signal to detect the potential target, such as frequency modulate (FM) signal [2,3], global system for mobile communication (GSM) signal, digital audio broadcast (DAB) signal, 4G long-term evolution (LTE) signal [4], digital video broadcast-terrestrial (DVB-T) signal [5,6], active radar signal [7], and so on. Currently, the theoretical study on the PBR system develops quickly, and a series of studies on the interference and clutter suppression make the further progress in [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Modified Blind Equalization Algorithm Based on Cyclostationarity for Contaminated Reference Signal in Airborne PBR

Guo

Wang

et al. 2020

Sensors

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In airborne passive bistatic radar (PBR), the reference channel toward the opportunity illuminator is applied to receive the direct-path signal as the reference signal. In the actual scenario, the reference signal is contaminated by the multipath signals easily. Unlike the multipath signal in traditional ground PBR system, the multipath signal in the airborne PBR owns not only the time delay but also the Doppler frequency. The contaminated reference signal can cause the spatial-temporal clutter spectrum to expand and the false targets to appear. The performance of target detection is impacted severely. However, the existing blind equalization algorithm is unavailable for the contaminated reference signal in airborne PBR. In this paper, the modified blind equalization algorithm is proposed to suppress the needless multipath signal and restore the pure reference signal. Aiming at the Doppler frequency of multipath signal, the high-order moment information and the cyclostationarity of source signal are exploited to construct the new cost function for the phase constraint, and the complex value back propagation (BP) neural network is exploited to solve the constraint optimization problem for the better convergence. In final, the simulation experiments are conducted to prove the feasibility and superiority of proposed algorithm.

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“…Hence, when estimating the temporal covariance matrix using the data of elements, it is also necessary that the number of element is twice as large as the number of pulse. In practical scenarios, the condition that the number of elements of airborne phased array radar is more than twice the number of pulses is not always satisfied, so it is necessary to achieve this requirement by Doppler filter bank [21], [22] or partial pulse selection. The Doppler filter bank or partial pulse selection can be completed by means of the dimension reduction matrix T a [10].…”

Section: A Adaptive Segmentation Of Nonstationary Clutter Regionmentioning

confidence: 99%

Clutter Suppression Approach for End-Fire Array Airborne Radar Based on Adaptive Segmentation

Li¹,

Xie²,

Mao³

et al. 2019

IEEE Access

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End-fire array antenna is a kind of special radar antenna with beam pointing perpendicular to the normal direction of the array. Because of its low profile and directional radiation characteristics, it is especially suitable for blind zone compensation of airborne radar. However, there are few publicly available pieces of literature on clutter suppression for end-fire array radar. In this paper, we firstly simulate and analyze the clutter spectrum characteristics for end-fire array airborne radar (EAAR), and then propose a clutter suppression method for EAAR based on adaptive segmentation. In the proposed method, the concept of Riemann mean distance of temporal covariance matrix is introduced to quantify the clutter nonstationarity, and in this way we realize adaptive segmentation of the clutter range-Doppler spectrum. Then the different clutter suppression methods including pulse Doppler (PD) processing, two-dimensional space-time adaptive processing (2D STAP), and three-dimensional STAP (3D STAP) are used to suppress clutter in different regions. The theoretical analysis and simulation results demonstrate that compared with 3D STAP, the proposed method not only guarantees clutter suppression performance, but also reduces the computational complexity to an extent.

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Sea Clutter Cancellation for Passive Radar Sensor Exploiting Multi-Channel Adaptive Filters

Cited by 52 publications

References 26 publications

Processing Technology Based on Radar Signal Design and Classification

Processing Technology Based on Radar Signal Design and Classification

Modified Blind Equalization Algorithm Based on Cyclostationarity for Contaminated Reference Signal in Airborne PBR

Clutter Suppression Approach for End-Fire Array Airborne Radar Based on Adaptive Segmentation

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