Spatial processing for frequency diversity schemes

• Published in: IEEE transactions on signal processing Vol. 48; no. 2; pp. 353 - 362
• Main Authors: Lagunas, M.A., Perez Neira, A.I., Amin, M.G., Vidal, J.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.02.2000; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Applied sciences; Associate members; Communication systems; Exact sciences and technology; Frequency bands; Frequency diversity; Information, signal and communications theory; Interference; Jamming; Optimization; Robustness; Signal analysis; Signal and communications theory; Signal design; Signal processing; Signal, noise; Simulation; Spread spectrum communication; Spreads; Statistics; Telecommunications and information theory; Waveform; Experimental result; Adaptive algorithm; Wireless telecommunication; Optimum receiver; Signal processing; Numerical simulation; Frequency diversity; Spread spectrum; Optimal detection; Jamming
• ISSN: 1053-587X; 1941-0476
• DOI: 10.1109/78.823963

A novel technique to obtain optimum blind spatial processing for frequency diversity spread spectrum (FDSS) communication systems is introduced. The sufficient statistics for a linear combiner, which prove ineffective due to the interferers frequency characteristics, are modified to yield improved detection under partial jamming in the spectral domain. Robustness to partial time jamming is achieved by extending the notion of replicas over the frequency axis to a repetition over the time variable. Analysis and simulations are provided, showing the advantages of using FDSS with spatial diversity to combat the interference when it is confined to a narrow frequency band or short time interval relative to the desired signal extent in either domain.