Tensor-based spatial smoothing (TB-SS) using multiple snapshots
IEEE Transactions on Signal Processing
Tensor algebra and multidimensional harmonic retrieval in signal processing for MIMO radar
IEEE Transactions on Signal Processing
| Hi-index | 35.69 |
In a previous paper by Jiang et al. (see ibid. vol.49, p.1849-59, 2001) it has been shown that up to └K/2┘ ┌L/2┐ two-dimensional (2-D) exponentials are almost surely identifiable from a K×L mixture, assuming regular sampling at or above Nyquist in both dimensions. This holds for damped or undamped exponentials. As a complement, in this article, we show that up to ┌K/2┐ ┌L/2┐ undamped exponentials can be uniquely recovered almost surely. Multidimensional conjugate folding is used to achieve this improvement. The main result is then generalized to N2 dimensions. The gain is interesting from a theoretical standpoint but also for small 2-D sensor arrays or higher dimensions and odd sample sizes.