Direct detection and position determination of multiple sources with intermittent emission

Oispuu, Marc; Nickel, Ulrich

doi:10.1016/j.sigpro.2010.05.010

Cited by 103 publications

(51 citation statements)

References 14 publications

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“…Additionally, DPD methods tailored to special signal structures (e.g., orthogonal frequency division multiplexing signals, cyclostationary signals, noncircular signals, and intermittent emissions) have been developed [33][34][35][36][37]. Note that the experimental results in [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37] demonstrate that the single-step approach outperforms the two-step method in scenarios with low SNR and/ or relatively few data records.…”

Section: Introductionmentioning

confidence: 99%

Robust direct position determination methods in the presence of array model errors

Wang

Yin

Liu

et al. 2018

EURASIP J. Adv. Signal Process.

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Direct position determination (DPD) methods are known to have many advantages over the traditional two-step localization method, especially for low signal-to-noise ratios (SNR) and/or short data records. However, similar to conventional direction-of-arrival (DOA) estimation methods, the performance of DPD estimators can be dramatically degraded by inaccuracies in the array model. In this paper, we present robust DPD methods that can mitigate the effects of these uncertainties in the array manifold. The proposed technique is related to the classical auto-calibration procedure under the assumption that prior knowledge of the array response errors is available. Localization is considered for the cases of both unknown and a priori known transmitted signals. The corresponding maximum a posteriori (MAP) estimators for these two cases are formulated, and two alternating minimization algorithms are derived to determine the source location directly from the observed signals. The Cramér-Rao bounds (CRBs) for position estimation are derived for both unknown and known signal waveforms. Simulation results demonstrate that the proposed algorithms are asymptotically efficient and very robust to array model errors.

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Section: Introductionmentioning

confidence: 99%

Robust direct position determination methods in the presence of array model errors

Wang

Yin

Liu

et al. 2018

EURASIP J. Adv. Signal Process.

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show abstract

“…However, these two-step methods are not guaranteed to yield optimal location results since they ignore the intrinsic constraint that all measurements should correspond to the same location [11]. Avoiding the step of estimating the intermediate parameters, a novel localization conception known as Direct Position Determination (DPD) was presented [12][13][14][15][16][17][18]. Emitter position is extracted directly through processing the raw signals in DPD.…”

Section: Introductionmentioning

confidence: 99%

Direct Position Determination of Coherent Pulse Trains Based on Doppler and Doppler Rate

Zhang

Guo

et al. 2018

Electronics

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Direct Position Determination (DPD) of coherent pulse trains using a single moving sensor is considered in this paper. Note that when a large observation window and relative maneuvering course between emitter and receiver both exist, the localization accuracy of Doppler frequency shift only based DPD will decline because of the noticeable Doppler frequency shift variations. To circumvent this problem, a Doppler frequency shift and Doppler rate based DPD approach using a single moving sensor is proposed in this paper. First, the signal model of the intercepted coherent pulse trains is established where the Doppler rate is taken into consideration. Then, the Maximum Likelihood based DPD cost function is given, and the Cramer–Rao lower bound (CRLB) on localization is derived whereafter. At last, the Monto Carlo simulations demonstrate that in one exemplary scenario the Doppler frequency shift variations are noticeable with a large observation window and the proposed method has superior performance to the DPD, which is only based on the Doppler frequency shift.

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“…According to the data processing methods, these algorithms can be divided into 2 kinds: frequency-domain data DPD (FDPD) and time-domain data DPD (TDPD). The accuracy of FDPD is highest in all DPD method, but in over-the-horizon (OTH) model FDPD fails [4][5][6]; the accuracy of TDPD, which can be used in OTH model, is a little lower than FDPD, but still higher than the 2-steps way [7].…”

Section: Introductionmentioning

confidence: 99%

Direct Position Determination Algorithm Based on Multi-array in the Presence of Gain-phase Errors

Hong¹,

Huang²,

Li³

et al. 2017

dtcse

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Abstract. In order to solve the problem of accuracy decrease of Direct Position Determination (DPD) in the presence of gain-phase error, the effect of the gain-phase error to the DPD algorithm is analyzed and an improved DPD algorithm with gain-phase error is introduced. In this algorithm, the gain-phase errors and the position of the targets are co-estimated simultaneously with iteration, which reduce the effect of the gain-phase errors. Simulation result shows that the improved algorithm has higher accuracy than the DPD algorithm without correction.

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Direct detection and position determination of multiple sources with intermittent emission

Cited by 103 publications

References 14 publications

Robust direct position determination methods in the presence of array model errors

Robust direct position determination methods in the presence of array model errors

Direct Position Determination of Coherent Pulse Trains Based on Doppler and Doppler Rate

Direct Position Determination Algorithm Based on Multi-array in the Presence of Gain-phase Errors

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