Multiband FM‐based passive bistatic radar: target range resolution improvement

Zaimbashi, Amir

doi:10.1049/iet-rsn.2015.0109

Cited by 25 publications

(40 citation statements)

References 18 publications

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“…Several studies on multi-channel FM-based PCL systems have been recently conducted in order to improve the performance of the parameter estimation and probability of detection of the target echo signal [13][14][15][16][17]. In addition, the range resolution of the FM signal can also be improved by exploiting the multi-channel FM structure [18,19].…”

Section: Introductionmentioning

confidence: 99%

Maximum‐likelihood angle estimator for multi‐channel FM‐radio‐based passive coherent location

Park

Kim

et al. 2018

IET Radar, Sonar & Navigation

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Frequency-modulation-based (FM-based) passive coherent location (PCL) systems can estimate the target location/ velocity by exploiting a single FM channel. In order to improve the performance of PCL systems, multi-channel-single-transmitter setup-based PCL systems have been studied recently. However, it has not yet been considered for direction of arrival estimation based on the multi-channel configuration. Thus, the authors propose a maximum-likelihood angle estimator exploiting the multiple FM-radio channels and derive the Cramer-Rao bound for verifying the convergence of the proposed method in the sense of root-mean-square error (RMSE). In addition, they propose a target association algorithm for solving the ambiguity problem in selecting the steering vectors of each target. Computer simulations are included to show the estimation performance of the proposed method and to compare the RMSE of the single-channel case with that of the multi-channel case.

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Section: Introductionmentioning

confidence: 99%

Maximum‐likelihood angle estimator for multi‐channel FM‐radio‐based passive coherent location

Park

Kim

et al. 2018

IET Radar, Sonar & Navigation

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“…A passive bistatic radar exploits the non-radar transmitters of opportunity, such as FM (frequency modulated) radio, DVB (digital video broadcasting), DAB (digital audio broadcasting), and GSM (global system for mobile communications) for detecting the multiple fast moving targets [1][2][8][9][10][11]. In order to detect K targets, the relative bistatic range, Doppler frequency, and angleof-arrival estimates corresponding to each target should be extracted from the received signals.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis on a Decoupled Maximum Likelihood Angle Estimator in an FM Based Passive Bistatic Radar

Park¹,

Kim²,

Kim³

et al. 2017

Modelling, Identification and Control

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We analyze the performance of a decoupled maximum likelihood (DEML) angle estimator in an FM based passive bistatic radar. Under the assumption that the bistatic range, the Doppler frequency estimates, and the transmitted signal emitted from an illuminator are given, we analyze the sensitivity of the DEML estimator against the range and Doppler frequency errors from the analytic expressions and simulation results. As a result, the performance of the DEML estimator may be mainly degraded by the Doppler frequency errors and we derive a condition that the root-mean-square error of the DEML estimator diverges. KEY WORDSDecoupled maximum likelihood angle estimator, FM based bistatic radar.

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“…N = Tf s where f s = 1/T s . In (1), target under test signature vector s is an N × 1 vector defined as follows:…”

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confidence: 99%

“…In this case, subscript 'f' is used to emphasise that y (m) f is a filtered version of the received signal by the bandwidth of B in the mth reference channel, and the transmitted signal amplitude of the mth broadcasted channel is represented by p (m) . In (1), clutter signature matrix C is an N × P e matrix defined as CW C (1)…”

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Multiband FM‐based PBR system in presence of model mismatch

Zaimbashi

2016

Electron. lett.

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The effect of the complex amplitude mismatch (CAM) on the performance of multiband uniformly most powerful invariant (M-UMPI) detector is studied. This optimum invariant detector assumed a fully correlated amplitude over different frequency channels (DFCs) to improve target range resolution (TRR). In this case, we obtain a closed-form expression for the detection probability of the M-UMPI under the CAM. Some simulation results are provided to evaluate the detection performance loss as well as degradation in TRR of the M-UMPI detector when there are different types of CAM over DFCs. Introduction: Consider an FM-based PBR system, which is able to collect M different frequency channels (DFCs) broadcasted from the same transmitter station simultaneously, so it is referred to as multiband FM-based PBR system [1, 2]. Assume that all of these M frequency channels with the carrier frequencies of f (1) c , f (2) c ,. .. , f (M) c are fully correlated. It is said that a set of M frequency channels with the carrier frequencies of {f (1) c , f (2) c ,. .. , f (M) c } constitutes a set of fully correlated channels when f (M) c − f (1) c ≪ Df = c/2D, where c is the speed of light and D is the target size [1, 3]. By considering this, it may be possible to assume that the received target signal amplitudes over correlated channels to be fully correlated. Also, as we all know, in order to improve target range resolution (TRR), it is required to increase the bandwidth of the signal used for detection. To do this, similar to the system introduced in [1], each of the received channels should be filtered at the selected bandwidth of B, digitally up-sampled with sampling frequency of f s = MB, and up-converted to the centre frequency of {f m } M m=1 in order to be adjacent in frequency with no overlap or space between them. All of this show that constructing high bandwidth signal is not a sufficient condition to improve the TRR in a multiband FM-based PBR system, it is also required that the received amplitudes of a target over DFCs to be fully correlated [1]. In this case, the proper value of B can also effect on TRR [1]. By doing so, the received multiband surveillance signal vector can be compactly described by the following model [1]:

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Multiband FM‐based passive bistatic radar: target range resolution improvement

Cited by 25 publications

References 18 publications

Maximum‐likelihood angle estimator for multi‐channel FM‐radio‐based passive coherent location

Maximum‐likelihood angle estimator for multi‐channel FM‐radio‐based passive coherent location

Performance Analysis on a Decoupled Maximum Likelihood Angle Estimator in an FM Based Passive Bistatic Radar

Multiband FM‐based PBR system in presence of model mismatch

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