Title :
Performance analysis of maximum likelihood blind spreading factor detection using FOSSIL
Author :
Tsaur, Lih-Feng ; Lee, Daniel C.
Author_Institution :
Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
We describe and propose the usage of a new codeword set to achieve the symbol rate (or spreading factor) adaptation in a CDMA communication network. Then we analyze the performance of a symbol-by-symbol, non-coherent, maximum-likelihood, blind spreading factor detector. The probability of false detection, which is also referred as the detection error rate (DER) in other studies, is analyzed for a multi-rate CDMA communication link with AWGN. The analysis shows that when the SNR is greater than 17 dB, the probability of false detection is around 10-6.
Keywords :
AWGN channels; code division multiple access; maximum likelihood detection; multiuser channels; probability; radio links; radio networks; spread spectrum communication; AWGN; CDMA communication network; FOSSIL; OVSF-sequence-set-inducing-lineages; SNR; blind spreading factor detector; codeword; detection error rate; false detection probability; maximum likelihood blind spreading factor detection; maximum-likelihood detector; multi-rate CDMA communication link; noncoherent detector; orthogonal variable spreading factor; performance analysis; symbol rate; symbol-by-symbol detector; AWGN; Binary trees; Communication networks; Density estimation robust algorithm; Detectors; Error analysis; Maximum likelihood detection; Multiaccess communication; Performance analysis; Quality of service;
Conference_Titel :
Military Communications Conference, 2001. MILCOM 2001. Communications for Network-Centric Operations: Creating the Information Force. IEEE
Print_ISBN :
0-7803-7225-5
DOI :
10.1109/MILCOM.2001.986104
