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This paper presents a hybrid sparse channel estimation based on Fractional Fourier Transform (FrFT) for orthogonal frequency division multiplex (OFDM) scenario to exploit channel sparsity of underwater acoustic (UWA) channel. A novel channel dictionary matrix based on chirp signals is constructed and mutual coherence is adopted to evaluate its preservation of sparse information. In addition, Compressive Sampling Matching Pursuit (CoSaMP) is implemented to estimate the sparse channel coefficients. Simulation results demonstrate a significant Normalized Mean Square Error (NMSE) improvement of 10dB over Basis Expansion Model (BEM) with less complexity.
|Title of host publication||2016 Sensor Signal Processing for Defence, SSPD 2016|
|Publication status||Published - 13 Oct 2016|
|Event||6th Conference of the Sensor Signal Processing for Defence - Royal College of Surgeons, Edinburgh, United Kingdom|
Duration: 22 Sep 2016 → 23 Sep 2016
Conference number: 6
|Conference||6th Conference of the Sensor Signal Processing for Defence|
|Abbreviated title||SSPD 2016|
|Period||22/09/16 → 23/09/16|
- compressive sampling matching pursuit (CoSaMP)
- dictionary matrix
- fractional fourier transform (FrFT)
- orthogonal frequency division multiplex (OFDM)
- underwater acoustic (UWA) channel
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- 1 Finished
Soraghan, J. & Weiss, S.
1/04/13 → 31/03/18