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diversity

于 2010-06-11 发布文件大小:50KB

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下载积分: 1 下载次数: 157

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代码说明：

matlab 下的协作分集和各种方案性能比较(cooperative diversity)

文件列表：

add2statistic.m,270,2007-05-15
add_channel_effect.asv,2215,2008-01-26
add_channel_effect.m,2226,2008-01-26
ber.m,610,2008-02-21
ber2snr.m,352,2007-04-26
ber2SNR_DAF.m,861,2007-05-15
ber_2_senders.m,386,2007-04-26
bin_state.m,653,2006-06-29
bit2symbol.m,451,2007-04-26
calculate_signal_parameter.asv,798,2008-12-10
calculate_signal_parameter.m,798,2008-12-10
coded_data.asv,225,2008-01-27
coded_data.m,225,2008-03-02
crc.m,271,2007-10-04
CRC_16.m,430,2007-10-03
data_decode.asv,287,2008-01-27
data_decode.m,287,2008-03-02
data_decode_df.m,296,2008-02-28
demultiplex.m,1519,2006-06-29
doc_softdecision.mdl,33495,2008-01-16
encoderm.m,2169,2006-07-07
encode_bit.m,866,2006-07-07
estimate_direct_channel_SNR.m,392,2007-05-14
estimate_via_channel_SNR.m,995,2007-05-15
generate_channel_structure.m,936,2007-10-03
generate_coded_data.asv,424,2008-12-07
generate_coded_data.m,341,2008-01-23
generate_relay_structure.m,520,2008-12-07
generate_rx_structure.m,494,2007-04-26
generate_signal_structure.m,532,2007-04-26
generate_statistic_structure.m,328,2007-04-26
generate_turbo_coded.m,233,2008-12-05
int_state.m,299,2000-01-19
logmapo.asv,3541,2008-01-15
logmapo.m,3541,2008-01-15
main.asv,3678,2008-12-05
main.m,3677,2007-05-15
main1003.asv,13065,2010-06-10
main1003.m,13890,2010-06-10
main1003.m~,29154,2008-02-29
main1012.m,1680,2007-10-12
prepare_relay2send.asv,996,2008-01-23
prepare_relay2send.m,995,2008-01-24
q.m,74,2007-04-26
qinv.m,85,2007-04-26
reduced.m,731,2007-10-17
rsc_encode.m,1722,2006-07-07
RSC_test.asv,917,2008-01-16
RSC_test.m,933,2008-01-16
rx_combine.asv,3063,2008-02-28
rx_combine.m,3063,2008-02-28
rx_correct_phaseshift.m,563,2008-12-10
rx_reset.m,76,2007-04-26
show_statistic.asv,731,2008-12-12
show_statistic.m,731,2008-02-21
snr2ber.m,249,2007-04-26
soft_decision.asv,586,2008-01-16
soft_decision.m,586,2008-01-16
soft_decode.m,1282,2008-01-16
sova0.m,4826,2008-01-19
symbol2bit.m,390,2007-04-26
test.m,98,2008-02-24
trellis.asv,2745,2008-01-16
trellis.m,2995,2008-01-16
vitdec_test.m,1346,2008-01-22

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说明：现代海战需要功能综合的作战平台和性能优良的武器系统来应对，海战场复杂多维的环境因素对海上兵力运用有很大的影响。因此，如何准确建立海战场的评估指标体系并进行科学评判是指挥员做出决策的重要前提。目前，海战场环境评估的方法有层次分析法、模糊评判法、指数法等11’21。针对这些方法主观性比较强等不足，本文引入云重心的评估方法简单易行，科学有效，可操作性强。基于云重心方法的海战场环境评估(Modern naval warfare needs integrated operational platforms and excellent weapon systems to cope with. The complex and multi-dimensional environmental factors of naval battlefield have a great impact on the use of naval forces. Therefore, how to accurately establish the evaluation index system of sea battlefield and make scientific evaluation is an important prerequisite for commanders to make decisions. At present, the methods of Marine Battlefield Environment Assessment include analytic hierarchy process, fuzzy evaluation, index method and so on. In view of these shortcomings, such as strong subjectivity, this paper introduces cloud gravity center evaluation method which is simple, scientific and effective, and operable. Sea Battlefield Environment Assessment Based on Cloud Barycenter Method)

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