Modified Cramer-Rao bound for M-FSK signal parameter estimation in Cauchy and Gaussian noise

The Cramer-Rao bound (CRB) provides an efficient standard for evaluating the quality of standard parameter estimators. In this paper, a modified Cramer-Rao bounds (MCRB) for modulation parameter estimations of frequency-shift-keying (FSK) signals is proposed under the condition of the Gaussian and non-Gaussian additive interference. We extend the MCRB to the estimation of a vector of non-random parameters in the presence of nuisance parameters. Moreover, the MCRB is applied to the joint estimation of phase offset, frequency offsets, frequency deviation, and symbol period of FSK signal with two important special cases of alpha stable distributions, namely, the Cauchy and the Gaussian. The extensive simulation studies are conducted to contrast the MCRB for the modulation parameter vector in different noise environments

Investigation of non-binary trellis codes designed for impulsive noise environments

PhD ThesisIt is well known that binary codes with iterative decoders can achieve near Shannon limit performance on the additive white Gaussian noise (AWGN) channel, but their performance on more realistic wired or wireless channels can become degraded due to the presence of burst errors or impulsive noise. In such extreme environments, error correction alone cannot combat the serious e ect of the channel and must be combined with the signal processing techniques such as channel estimation, channel equalisation and orthogonal frequency division multiplexing (OFDM). However, even after the received signal has been processed, it can still contain burst errors, or the noise present in the signal maybe non Gaussian. In these cases, popular binary coding schemes such as Low-Density Parity-Check (LDPC) or turbo codes may not perform optimally, resulting in the degradation of performance. Nevertheless, there is still scope for the design of new non-binary codes that are more suitable for these environments, allowing us to achieve further gains in performance. In this thesis, an investigation into good non-binary trellis error-correcting codes and advanced noise reduction techniques has been carried out with the aim of enhancing the performance of wired and wireless communication networks in di erent extreme environments. These environments include, urban, indoor, pedestrian, underwater, and powerline communication (PLC). This work includes an examination of the performance of non-binary trellis codes in harsh scenarios such as underwater communications when the noise channel is additive S S noise. Similar work was also conducted for single input single output (SISO) power line communication systems for single carrier (SC) and multi carrier (MC) over realistic multi-path frequency selective channels. A further examination of multi-input multi-output (MIMO) wired and wireless systems on Middleton class A noise channel was carried out. The main focus of the project was non-binary coding schemes as it is well-known that they outperform their binary counterparts when the channel is bursty. However, few studies have investigated non-binary codes for other environments. The major novelty of this work is the comparison of the performance of non-binary trellis codes with binary trellis codes in various scenarios, leading to the conclusion that non-binary codes are, in most cases, superior in performance to binary codes. Furthermore, the theoretical bounds of SISO and MIMO binary and non-binary convolutional coded OFDM-PLC systems have been investigated for the rst time. In order to validate our results, the implementation of simulated and theoretical results have been obtained for di erent values of noise parameters and on di erent PLC channels. The results show a strong agreement between the simulated and theoretical analysis for all cases.University of Thi-Qar for choosing me for their PhD scholarship and the Iraqi Ministry of Higher Education and Scienti c Research (MOHESR) for granting me the funds to study in UK. In addition, there was ample support towards my stay in the UK from the Iraqi Cultural Attach e in Londo

Pengetahuan dan minat terhadap kerjaya keushawanan : satu tinjauan di kalangan pelajar-pelajar bumiputera aliran kemahiran

Kajian ini adalah berkaitan dengan keIjaya keusahawanan di kalangan pelajar-pelajar bumiputera aliran kemahiran. Tujuan kajian ini diadakan adalah untuk melihat sarna ada pelajar-pelajar ini mempunyai pengetahuan dan minat terhadap keIjaya keusahawanan, atau tidak. Soal selidik telah diedarkan kepada 48 orang responden, dan kursus Teknologi Kejuruteraan A\\'am (Bangunan) di Institut Kemahiran Mara (l1Ovf), Manjung, Perak Darul Ridzuan. Data yang diperolehi dianalisis menggunakan pensian Srarv,·rical Package For Social Science (SPSS). Hasil analisis menunjukkan nilai skor min untuk kesemua item berada pad a tahap yang memuaskan. Ini membuktikan bahawa pelajar-pelajar bumiputera aliran kemahiran sememangnya mempunyai pengetahuan dan minat terhadap keIjaya keusahawanan. \Valaupun mempunyai pengetahuan dan minat terhadap keIjaya keusahawanan, mereka masih kekurangan maklumat berkenaan prosedur memulakan pemiagaan serta badan atau organisasi yang memberi kemudahan dana kewangan. Oleh yang demikian, 'Panduall Ringkas Mellceburi Bidang Keusahawanall' dihasilkan untuk memben maklumat ten tang langkah-langkah yang perlu dilakukan untuk memulakan sesuatu pemiagaan serta badan atau organisasi yang memben kemudahan dana kewangan, kepada para pelajar

Digital Communications in Additive White Symmetric Alpha-Stable Noise

Ph.DDOCTOR OF PHILOSOPH

Blind parameter estimation of M-FSK signals in the presence of alpha-stable noise

Blind estimation of parameters for M-ary frequency-shift-keying (M-FSK) signals is great of importance in intelligent receivers. Many existing algorithms have assumed white Gaussian noise. However, their performance severely degrades when grossly corrupted data, i.e., outliers, exist. This paper solves this issue by developing a novel approach for parameter estimation of M-FSK signals in the presence of alpha-stable noise. Specifically, the proposed method exploits the generalized first- and second-order cyclostationarity of M-FSK signals with alpha-stable noise, which results in closed-form solutions for unknown parameters in both time and frequency domains. As a merit, it is computationally efficient and thus can be used for signal preprocessing, symbol timing estimation, signal and noise power estimation. Furthermore, substantial theoretical analysis on the performance of the proposed approach is provided. Simulations demonstrate that the proposed method is robust to alpha-stable noise and that it outperforms the state-of-the-art algorithms in many challenging scenarios