LEADER 03191nam 2200505 450 001 9910554876303321 005 20191205094752.0 010 $a1-118-93823-2 010 $a1-118-93822-4 010 $a1-118-93821-6 035 $a(CKB)4330000000007588 035 $a(MiAaPQ)EBC5426736 035 $a(CaSebORM)9781118938249 035 $a(EXLCZ)994330000000007588 100 $a20180627d2018 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSimplified robust adaptive detection and beamforming for wireless communications /$fby Ayman ElNashar 205 $aFirst edition. 210 1$aHoboken, NJ :$cJohn Wiley & Sons,$d[2018] 210 4$dİ2018 215 $a1 online resource (398 pages) 300 $aIncludes index. 311 $a1-118-93824-0 320 $aIncludes bibliographical references and index. 327 $aWireless systems models -- Adaptive detection algorithms -- Robust RLS adaptive algorithms -- Quadratically constrained robust detection -- Robust constant modulus algorithms -- Robust adaptive beamforming -- Minimum ber adaptive detection and beamforming. 330 $aThis book presents an alternative and simplified approaches for the robust adaptive detection and beamforming in wireless communications. It adopts several systems models including DS/CDMA, OFDM/MIMO with antenna array, and general antenna arrays beamforming model. It presents and analyzes recently developed detection and beamforming algorithms with an emphasis on robustness. In addition, simplified and efficient robust adaptive detection and beamforming techniques are presented and compared with exiting techniques. Practical examples based on the above systems models are provided to exemplify the developed detectors and beamforming algorithms. Moreover, the developed techniques are implemented using MATLAB?and the relevant MATLAB scripts are provided to help the readers to develop and analyze the presented algorithms. Simplified Robust Adaptive Detection and Beamforming for Wireless Communications starts by introducing readers to adaptive signal processing and robust adaptive detection. It then goes on to cover Wireless Systems Models. The robust adaptive detectors and beamformers are implemented using the well-known algorithms including LMS, RLS, IQRD-RLS, RSD, BSCMA, CG, and SD. The robust detection and beamforming are derived based on the existing detectors/beamformers including MOE, PLIC, LCCMA, LCMV, MVDR, BSCMA, and MBER. The adopted cost functions include MSE, BER, CM, MV, and SINR/SNR. 606 $aAdaptive signal processing 606 $aBeamforming 606 $aWireless communication systems 615 0$aAdaptive signal processing. 615 0$aBeamforming. 615 0$aWireless communication systems. 676 $a621.382/4 700 $aElNashar$b Ayman$0976893 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910554876303321 996 $aSimplified robust adaptive detection and beamforming for wireless communications$92818261 997 $aUNINA