DVB-T ambiguity peaks reduction in passive radar applications based on signal reconstruction

Bárcena-Humanes, J. L.; Martin-de-Nicolas, J.; Solis-Carpintero, C.; Jarabo-Amores, María-Pilar; Rosa-Zurera, Manuel; Mata-Moya, David

doi:10.1109/eurad.2014.6991341

Cited by 5 publications

(9 citation statements)

References 8 publications

(6 reference statements)

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“…γ(θ) is the sum of L correlations between the acquired signal S(k) (composed of one single DVB-T MX from s ref [n] or s surv [n]) and a copy delayed a number of samples, N , equal to the number of OFDM useful symbol samples; L is the cyclic prefix number of samples (15). Φ(θ) is an energy term defined in ( 16) and ρ is a weighting-factor that depends on the Signal-to-Noise Ratio, SNR (17).…”

Section: Cyclic Prefix Van De Beek Methodsmentioning

confidence: 99%

DVB-T Receiver Independent of Channel Allocation, With Frequency Offset Compensation for Improving Resolution in Low Cost Passive Radar

et al. 2020

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In this paper, a commercial low cost solution for increasing DVB-T based passive radar (also referred to as passive coherent location) robustness with respect to channel allocation and range resolution, is designed. IDEPAR demonstrator is updated to include a new recording system in charge of DVB-T channels reallocation. The use of commercial hardware introduces frequency mismatching between acquired channels that compromises system operation. To face channel frequency alignment, fulfilling the requirements imposed by the high Doppler resolution typical of passive radars, a novel compensation algorithm is proposed, based on the minimization of signal dispersion in the Cross-Ambiguity Function domain. The well-known cyclic prefix van de Beek method is used as reference. Results show an increase in target signal to interference ratio and detection performances, as well as a reduction of clutter dispersion when the novel proposed algorithm is applied. The low cost solution is also compared to a high performance one capable of acquiring a wide bandwidth of sparse DVB-T channels, and performing channel reallocation by digital signal processing. Results show that both systems reached similar performances in terms of range resolution and SNR improvement.

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Section: Cyclic Prefix Van De Beek Methodsmentioning

confidence: 99%

DVB-T Receiver Independent of Channel Allocation, With Frequency Offset Compensation for Improving Resolution in Low Cost Passive Radar

et al. 2020

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“…A target, T x , will generate a CAF local maximum at ( m x , p x ) associated with the target bistatic delay,

τ_{m_{x}}

, and Doppler shift,

f_{D_{p_{x}}}

. Other components of the received signals are the clutter, the direct path interference (DPI) and the specific elements of the IoO signal, which generate artefacts or ambiguity peaks [4, 7].…”

Section: Passive Radar Operation Principlementioning

confidence: 99%

“…Digital video broadcasting‐terrestrial (DVB‐T) is of special interest due to its availability (it is widely implemented, and DVB‐T2 is operative in some countries, and under consideration for mid‐term in others), transmitted power and waveform [4–7]. Most of the demonstrators were validated in aerial scenarios (i.e.…”

Section: Introductionmentioning

confidence: 99%

IDEPAR: a multichannel digital video broadcasting‐terrestrial passive radar technological demonstrator in terrestrial radar scenarios

Jarabo-Amores

Bárcena-Humanes

Gómez-del-Hoyo

et al. 2017

IET Radar, Sonar & Navigation

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“…In [ 17 ], methods for reducing the ambiguity peaks in the cross-ambiguity function were investigated for the PCL system with DVB-T illumination signals. Three methods were proposed to replace the elements responsible for the ambiguity peaks with ideal 64-Quadrature Amplitude Modulation (QAM) symbols, zero power components, and finally, random segments.…”

Section: Introductionmentioning

confidence: 99%

DAB Signal Preprocessing for Passive Coherent Location

Mazurek

2022

Sensors

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Digital Audio Broadcast (DAB) transmitters can be successfully used as illumination sources in Passive Coherent Location (PCL). However, extending the integration time in such a configuration leads to the occurrence of periodical artifacts in the bistatic range/Doppler plots, resulting from the time structure of the DAB signal. In this paper, we propose some methods of signal preprocessing (based on symbol removal, substitution by noise, and duplication) that operate on the DAB transmission frame level and improve the received signal’s correlation properties. We also demonstrate that two of these methods allow us to avoid the mentioned artifacts and thus to improve the quality of the range/Doppler plots with detection results. We evaluate the performance of the proposed methods using real DAB signals acquired in an experimental PCL platform. We also provide the analysis of the Signal to Noise Ratio (SNR) during the detection of a moving target which shows that the proposed solution, based on symbol duplication, can offer around 3 dB of gain in SNR. Finally, we carry out the computational complexity analysis showing that the proposed method can be implemented with a minimal cost after some optimizations.

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DVB-T ambiguity peaks reduction in passive radar applications based on signal reconstruction

Cited by 5 publications

References 8 publications

DVB-T Receiver Independent of Channel Allocation, With Frequency Offset Compensation for Improving Resolution in Low Cost Passive Radar

DVB-T Receiver Independent of Channel Allocation, With Frequency Offset Compensation for Improving Resolution in Low Cost Passive Radar

IDEPAR: a multichannel digital video broadcasting‐terrestrial passive radar technological demonstrator in terrestrial radar scenarios

DAB Signal Preprocessing for Passive Coherent Location

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