Multitarget Joint Delay and Doppler-Shift Estimation in Bistatic Passive Radar

Rashid, Mohammed; Naraghi-Pour, Mort

doi:10.1109/taes.2019.2936779

Cited by 8 publications

(5 citation statements)

References 39 publications

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“…Since the ML cost function in Equation ( 10) is highly nonlinear, a brute force search over the multi-dimensional parameter space is computationally difficult. The expectationmaximisation (EM) method is a broadly applicable approach to the iterative computation of the ML estimates [34] and has been applied successfully in PR parameter estimation [6,[35][36][37]. In the following, we turn to exploit the EM method to solve Equation (10).…”

Section: Joint Multipath Signals and Noise Reduction Methodsmentioning

confidence: 99%

Joint multipath signals and noise reduction in passive radar

Lyu

Ding

2022

IET Signal Processing

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The paper considers the multipath signal and noise reduction problem in passive radar. A unified framework is provided for the joint reduction of multipath signals and noise in both Gaussian and non‐Gaussian circumstances. The traditional clutter cancellation methods are incorporated in this framework corresponding to the Gaussian circumstance. Based on this framework, a joint reduction method (JRM) is developed for suppressing the multipath signals and noise. Specifically, the cancellation of noise is explicitly discussed. Analytical analysis of the proposed method is included. An approximate implementation of the JRM (approximate implementation of the joint reduction method) which increases the computational efficiency is also provided. Simulations demonstrate the effectiveness of the proposed methods.

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Section: Joint Multipath Signals and Noise Reduction Methodsmentioning

confidence: 99%

Joint multipath signals and noise reduction in passive radar

Lyu

Ding

2022

IET Signal Processing

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“…A cyclic correlation parametric approach‐based multiple TDE is presented in Reference 20 for nonstationary, multiple access, interference, and spatially correlated noises. The authors in References 21,22 considered the estimation problem of time and delay as a compressive sensing reconstruction problem with the assumption that the receivers are not phase synchronized that the measurements across the receivers combine noncoherently. The authors in that work resolved this issue using the popular basis pursuit and orthogonal matching pursuit algorithm.…”

Section: Review Of Time Delay Esstimation Algorithmsmentioning

confidence: 99%

Time delay estimation issues for target detection and transmitter identification in multistatic radars

Dash

Jayaraman

2020

Engineering Reports

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Time delay estimation (TDE) is an active research area due to its importance in a wide range of applications, such as target detection and transmitter identification. At present, the majority of the radar systems are using multistatic architecture because of its improved detection and tracking performance. In multistatic radar systems, where more than one transmitter and receivers are deployed, it is a challenging task to separate multiple echoes at the receiver to estimate the required parameters and identify the number of transmitters. The delay estimation process becomes more complicated when closely spaced multiple targets are involved in the detection process. In this study, various issues associated with conventional matched filtering-based target detection techniques are investigated in terms of nonlinear time-frequency representation with ambiguity function and cross-ambiguity functions. The problems of delay estimation and cross-range resolution are analyzed through simulations in a multistatic radar system.

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“…Consequently, CRLBs in bistatic and multistatic radar networks were previously extensively studied by considering various waveforms such as FM radio signals [9,26], OFDM communication signals [27,20,28], linear frequency modulated (LFM) waveforms [5], advanced television system committee (ATSC) signals [29], and mobile communication network signals [30]. It is also possible to compute joint CRLBs such as for joint delay and Doppler estimations in multi-target scenarios [31]. blueFurthermore, the CRLB has been recently considered as a performance metric in a joint radar and communication system while optimising the joint system performance.…”

Section: Introductionmentioning

confidence: 99%

Waveform Selection For Multi-Band Multistatic Radar Networks

Temiz¹

2022

Preprint

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This study investigates the benefits of waveform selection by exploiting multiple illuminators of opportunity (IO) in hybrid radar systems consisting of multi-band receivers which can utilise active radar transmitters and broadcasting signals for bistatic radar sensing. As a performance metric, Cramér-Rao lower bounds (CRLBs) on velocity and range estimations are considered. Considering that TV and radio broadcasting stations usually emit high power signals, they are suitable for passive sensing as IOs. Therefore, FM radio, Digital Video Broadcasting-Terrestrial (DVB-T) and Digital Audio Broadcasting (DAB) transmitters are considered for passive radar operations while also having an active radar transmitter in the multistatic radar network. Multistatic radar networks comprising receivers, transmitter and IOs transmitting the aforementioned waveforms are modelled and optimum selection of bistatic pairs are studied based on CRLBs on range and velocity estimations. Two different multistatic radar network scenarios are simulated and the results are evaluated to analyse the estimation accuracy of active and passive bistatic pairs in the network. The results show that multi-band multistatic radar network provides better range and velocity estimations and may also mitigate the adverse effects of jamming by exploiting broadcasting waveforms compared to a radar network which only considers radar transmitters for sensing.

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Multitarget Joint Delay and Doppler-Shift Estimation in Bistatic Passive Radar

Cited by 8 publications

References 39 publications

Joint multipath signals and noise reduction in passive radar

Joint multipath signals and noise reduction in passive radar

Time delay estimation issues for target detection and transmitter identification in multistatic radars

Waveform Selection For Multi-Band Multistatic Radar Networks

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