A switched-order FLOM STAP algorithm in heterogeneous clutter environment
A switched-order FLOM STAP algorithm in heterogeneous clutter environment
- Author(s): Zhaocheng Yang ; R.C. de Lamare ; Lei Nie ; Xiang Li
- DOI: 10.1049/ic.2011.0160
For access to this article, please select a purchase option:
Buy conference paper PDF
Buy Knowledge Pack
IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.
Sensor Signal Processing for Defence (SSPD 2011) — Recommend this title to your library
Thank you
Your recommendation has been sent to your librarian.
- Author(s): Zhaocheng Yang ; R.C. de Lamare ; Lei Nie ; Xiang Li Source: Sensor Signal Processing for Defence (SSPD 2011), 2011 page ()
- Conference: Sensor Signal Processing for Defence (SSPD 2011)
- DOI: 10.1049/ic.2011.0160
- ISBN: 978-1-84919-661-1
- Location: London, UK
- Conference date: 27-29 Sept. 2011
- Format: PDF
The normalized fractionally-lower order moment (NFLOM) algorithm exhibits fast convergence but low steady- state signal-to-interference-plus noise ratio (SINR) when the order is less than two. In this paper, we propose a switched-order NFLOM algorithm to adaptively select the best order to achieve both fast convergence and good steady-state performance. The basic idea is to constrain the order within a range of appropriate values, to compute the space-time adaptive processing (STAP) the best order that maximizes the output SINR. The proposed algorithm is assessed with simulated data considering a heterogeneous clutter environment. The simulation results illustrate that our proposed algorithm outperforms the normalized least mean squares (NLMS) algorithm and the NFLOM algorithm, and has an easier parameter setting than the existing variable-order algorithms. (5 pages)
Inspec keywords: clutter; least mean squares methods; space-time adaptive processing; interference (signal)
Subjects: Signal processing and detection; Interpolation and function approximation (numerical analysis); Signal processing theory; Interpolation and function approximation (numerical analysis); Electromagnetic compatibility and interference
Related content
content/conferences/10.1049/ic.2011.0160
pub_keyword,iet_inspecKeyword,pub_concept
6
6