Abstract
In this article, 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.
Highlights
P ASSIVE Radars (PRs), referred to as passive coherent location, are promising candidates to complement/ substitute active ones in security and defence applications
Two Twin A/D T.0X working in parallel were needed in each receiving chain to shift three Digital Video Broadcasting-Terrestrial (DVB-T) MXs into a 24MHz bandwidth centred at 850MHz, where the bandpass filter operates to limit the noise before the digitalization process
The possibility of using consecutive DVB-T MXs to increase signal bandwidth is an attractive possibility, but DVB-T MX allocation is characterized by a high spatial variability and frequency sparsity
Summary
P ASSIVE Radars (PRs), referred to as passive coherent location, are promising candidates to complement/ substitute active ones in security and defence applications. PRs are defined as a set of techniques to detect targets and to estimate parameters using non-cooperative signals Date of publication July 22, 2020; date of current version November 18, 2020. The associate editor coordinating the review of this article and approving it for publication was Dr Marco J.
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