Improving BEM channel estimation for airborne passive radar reference signal reconstruction

Abstract

International audienceIn this article, we consider an airborne passive radar using ODFM signals of opportunity in a Single Frequency Network (SFN) environment. The long and sparse multipath fading channel and the mobility of the receiver can deeply alterate the signal and therefore degrade the decoding processing. Classic methods experience difficulties in dealing with such channel impacts. Consequently we present a Basis Expansion Model (BEM) based channel estimation method. We also propose to combine it with the Minimum Description Length (MDL) and ESPRIT algorithms to get a prior information. Simulation results emphasize the benefits of using the BEM and confirm the necessity to have an a priori knowledge of the channel

Dealing with co‐channel interference in multi‐channel airborne passive radar

“…Figure 1), thus obtaining an improved reconstructed reference signal. In [23], this approach has been proposed in the context of airborne passive radar, and the improvement in the quality of the reconstructed reference signal has been demonstrated.…”

“…When a demod/remod passive radar signal processing scheme is applied [22], the suppression of the CCI using multiple receiving channels has a twofold advantage. First, the multiple receiving channels can be exploited to retrieve a cleaner version of the reconstructed reference signal, as also shown in a similar analysis in [8,23]. Second, once a cleaner reference signal is obtained, the surveillance signals received in the multiple receiving channels can be conveniently combined to further reduce the level of interference in the range–Doppler map.…”

Passive 3D interferometric ISAR using target‐borne illuminator of opportunity

“…When a digital IO is installed and used by moving targets, the direct signal separation can be performed by decoding the transmitted symbols and remodulating the signal, thus generating a synthetic version of the transmitted signal at the receiver [7, 26]. In case of moving platforms, the channel temporal variation must be taken into account when decoding the transmitted symbols, as proposed in [27] for OFDM signals.…”

BEM Reference Signal Estimation for an Airborne Passive Radar Antenna Array

“…Reference [26] considers a solution based on the combination of a DRAFT Minimum Description Length (MDL) method that provides the number of active taps, and the ESPRIT algorithm that estimates their respective delays as detailed in [27]. It participates to decrease the number of coefficients to estimate [28].…”