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An innovative scheme is presented for moving target detection and high-resolution focusing that exploits a bank of chirp scaling algorithms (CSA), each one matched to a different along track target velocity component. The new scheme is thought for multichannel (MC) synthetic aperture radar systems, to provide a high-resolution focusing of the moving targets. Adequate target detection capability is ensured by integrating the aforementioned bank of CSA with a post-Doppler space-time adaptive processing clutter cancellation step. The presented scheme is very efficient from a computational point of view and is able to achieve subclutter visibility for the moving targets. The effectiveness of the proposed techniques is shown with reference to an emulated MC data set.

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This paper addresses the problem of direct signal interference (DSI) and clutter cancellation for passive radar systems on moving platforms employing displaced phase centre antenna (DPCA) approach. Attention is focused on the development of signal processing strategies able to compensate for the limitations deriving from amplitude and phase imbalances that affect the two channels employed on receive. First, we show that using the signal received from the illuminator of opportunity as a source for channels calibration might be ineffective when DSI and clutter echoes have different directions of arrival, due to the effect of angle-dependent channel imbalance. Then, a two-stage strategy is proposed, consisting of a preliminary DSI removal stage at each receive channel, followed by a clutter-based calibration approach that basically enables an effective DPCA clutter suppression. Different strategies for channel calibration are proposed, aimed at compensating for potential angle and range dependent channel errors, based on the maximization of the cancellation performance. Effectiveness of this scheme is shown against experimental data from a DVB-T based moving passive radar, in the presence of both real and synthetic moving targets.

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We present an advanced algorithm to suppress multipath clutter in passive radar systems using OFDM signals for surveillance. Multipath clutter signals not only lead to enormous zero Doppler signals in the range Doppler domain, they also induce intense side lobes when the multipath signals have additional small Doppler shifts to the reference signal and thereby can mask targets with small Doppler frequencies and small SNR. The proposed algorithm, denominated as Enhanced Cancellation Algorithm by Carrier and Doppler Shift (ECA-CD), removes multipath clutter signals and reduces its side lobes. Its implementation and experimental tests show the effectiveness of multipath signal suppression in real time