Article
Iterative channel estimation and decoding for convolutionally coded antijam FH signals
Electr. Eng. Dept., Maryland Univ., College Park, MD
IEEE Transactions on Communications (Impact Factor: 1.75). 03/2002; DOI: 10.1109/26.983327 Source: DBLP

Conference Paper: On the performance of serially concatenated convolutional code for frequency hopped PSK in partialband noise jammer
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ABSTRACT: The performance of a serially concatenated convolutional code (SCCC) for frequency hopped Mary phase shift keying communication systems over an additive white Gaussian channel noise (AWGN) in the presence of a partialband noise jammer is discussed in the paper. The scaling of the loglikelihood ratio (LLR) which improves the SNR dynamic range and the jamming strategy are also discussed in the paper. Computer Monte Carlo simulation is used to study the performance of the system for low and high data rates.Military Communications Conference, 2009. MILCOM 2009. IEEE; 11/2009 
Conference Paper: Robust receiver algorithms to mitigate partialband and partialtime interference in ldpccoded OFDM systems
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ABSTRACT: Orthogonal frequency division multiplexing (OFDM) systems are vulnerable to narrowband jamming signals. We jointly tackle two problems: channel estimation in the presence of unknown interference, and decoding with imperfect channel knowledge. In this paper, we propose robust, yet simple, receiver algorithms consisting of both channel estimation and information decoding. The receiver conducts threshold tests to detect interference followed by pilot erasure and channel estimation. Then, channel estimation error and unknown interference statistics are dealt with by the robust loglikelihood ratio (LLR) calculations for soft iterative decoding. The proposed receiver algorithm does not require any statistical knowledge of interference and its complexity is linear against the length of codewords. Simulation results show that the biterrorrate (BER) performance of the proposed system is only 2~3 dB away from a genie system where channel information and interference parameters are perfectly known. We also demonstrate that soft decision feedback from a decoder to enhance channel estimation achieves additional 0.5 ~ 1dB improvement.MILITARY COMMUNICATIONS CONFERENCE, 2012  MILCOM 2012; 01/2012  [Show abstract] [Hide abstract]
ABSTRACT: We consider trainingbased transmissions over multipleinputmultipleoutput (MIMO) fading channels in the presence of jamming. Each transmission block consists of a training phase and a data transmission phase. From an informationtheoretic viewpoint, we study the optimal energy allocation between the two phases for both the legitimate user of the channel and the jammer. For a fixed jamming strategy, we derive a closedform solution of the optimal transmit energy allocation for the legitimate user and show that the optimal training length is equal to the number of transmit antennas. On the other hand, if the jammer has optimized its strategy, the best choice for the training length is shown to be larger than the number of transmit antennas and approaches half of the block length at low signaltojammingandnoise ratio (SJNR). From the jammer's perspective, we derive closedform solutions of the optimal jamming energy allocation. Numerical results demonstrate 30%50% performance gains by using optimal designs in various scenarios. We also model the energy allocation problem as a zerosum game and prove the existence and uniqueness of the Nash equilibrium when the training length is fixed. Furthermore, we extend our analysis to the case where the channel state information (CSI) is available at the transmitter. We show that many results found for systems with no transmitter CSI are also valid for systems with full transmitter CSI.IEEE Transactions on Vehicular Technology 08/2011; · 2.06 Impact Factor
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