摘要 :
To implement the linearly constrained minimum variance (LCMV) algorithm in joint time-space processing to detect the multiple target signals in a tapped delay-line adaptive array antenna (TDL-AAA) is very complicated. In this pape...
展开
To implement the linearly constrained minimum variance (LCMV) algorithm in joint time-space processing to detect the multiple target signals in a tapped delay-line adaptive array antenna (TDL-AAA) is very complicated. In this paper, we propose the ambiguity-free cascade time-space processing to reduce the complexity. The computational complexity of variance matrix can be reduced significantly.
收起
摘要 :
To implement the linearly constrained minimum variance (LCMV) algorithm in joint time-space processing to detect the multiple target signals in a tapped delay-line adaptive array antenna (TDL-AAA) is very complicated. In this pape...
展开
To implement the linearly constrained minimum variance (LCMV) algorithm in joint time-space processing to detect the multiple target signals in a tapped delay-line adaptive array antenna (TDL-AAA) is very complicated. In this paper, we propose the ambiguity-free cascade time-space processing to reduce the complexity. The computational complexity of variance matrix can be reduced significantly.
收起
摘要 :
To remedy the performance degradation of the original space-time autoregressive (STAR) filtering algorithm when operating in nonstationary clutter environments, this paper proposes a new type of STAR algorithm that invokes the tim...
展开
To remedy the performance degradation of the original space-time autoregressive (STAR) filtering algorithm when operating in nonstationary clutter environments, this paper proposes a new type of STAR algorithm that invokes the time-varying autoregressive (TVAR) model and is called time-varying space-time autoregressive (TV-STAR) filtering. We demonstrate that, in the nonstationary clutter environment, the TV-STAR algorithm exhibits a commensurate performance with respect to the stationary case while the STAR filter totally fails due to “model-mismatch”. Meanwhile, TV-STAR is shown to offer a favourable convergence rate over reduced-rank STAP techniques such as loaded sample matrix inversion (LSMI) method. Simulated data as well as two sets of measured airborne radar data are used to demonstrate the performance of TV-STAR algorithm.
收起
摘要 :
To remedy the performance degradation of the original space-time autoregressive (STAR) filtering algorithm when operating in nonstationary clutter environments, this paper proposes a new type of STAR algorithm that invokes the tim...
展开
To remedy the performance degradation of the original space-time autoregressive (STAR) filtering algorithm when operating in nonstationary clutter environments, this paper proposes a new type of STAR algorithm that invokes the time-varying autoregressive (TVAR) model and is called time-varying space-time autoregressive (TV-STAR) filtering. We demonstrate that, in the nonstationary clutter environment, the TV-STAR algorithm exhibits a commensurate performance with respect to the stationary case while the STAR filter totally fails due to “model-mismatch”. Meanwhile, TV-STAR is shown to offer a favourable convergence rate over reduced-rank STAP techniques such as loaded sample matrix inversion (LSMI) method. Simulated data as well as two sets of measured airborne radar data are used to demonstrate the performance of TV-STAR algorithm.
收起
摘要 :
Space-time transmit diversity is mainly designed to combat channel fading in downlink transmission by combining the channel coding and array diversity technique, thus expands communication system capacity and attains diversity gai...
展开
Space-time transmit diversity is mainly designed to combat channel fading in downlink transmission by combining the channel coding and array diversity technique, thus expands communication system capacity and attains diversity gain and coding gain. Most modellings on space-time transmit diversity are based on the assumption that there is single-path arriving at the receive antenna from a transmit antenna. However, there are multipaths to arrive at the receive antenna from a transmit antenna in practice. Conventional space-time transmit diversity scheme where the same spread code is used in transmit antennas has some disadvantages in the practical system and its performance undesirable in multipath Channel. A novel space-time transmit diversity scheme where orthogonal spread codes are used respectively at the transmit antennas is presented to solve this problem. Simulation results reveal that the space-time transmit diversity scheme presented in this paper have much better performance than conventional transmit diversity in multipath channel. We also find that this space-time transmit diversity scheme has better performance as with the increasing of multipath number.
收起
摘要 :
Space-time transmit diversity is mainly designed to combat channel fading in downlink transmission by combining the channel coding and array diversity technique, thus expands communication system capacity and attains diversity gai...
展开
Space-time transmit diversity is mainly designed to combat channel fading in downlink transmission by combining the channel coding and array diversity technique, thus expands communication system capacity and attains diversity gain and coding gain. Most modellings on space-time transmit diversity are based on the assumption that there is single-path arriving at the receive antenna from a transmit antenna. However, there are multipaths to arrive at the receive antenna from a transmit antenna in practice. Conventional space-time transmit diversity scheme where the same spread code is used in transmit antennas has some disadvantages in the practical system and its performance undesirable in multipath Channel. A novel space-time transmit diversity scheme where orthogonal spread codes are used respectively at the transmit antennas is presented to solve this problem. Simulation results reveal that the space-time transmit diversity scheme presented in this paper have much better performance than conventional transmit diversity in multipath channel. We also find that this space-time transmit diversity scheme has better performance as with the increasing of multipath number.
收起
摘要 :
In order to use the STAP in reverberation suppression, and compare the performances of STAP for underwater LFM with CW, the method of STAP used for LFM was proposed. Firstly, the principle of STAP for CW was analyzed, according to...
展开
In order to use the STAP in reverberation suppression, and compare the performances of STAP for underwater LFM with CW, the method of STAP used for LFM was proposed. Firstly, the principle of STAP for CW was analyzed, according to the underwater echo of CW. Then, the space-time steering vector of LFM is deduced by analysing the underwater echo of LFM. Finally, the performances of STAP for LFM and CW were compared by simulations. The results show that the proposed method of STAP for underwater LFM with narrower modulation bandwidth can achieve a better performance in target detection and estimate, and the processing gain of STAP for CW is higher than that of LFM form 1.6 dB to 5.5 dB with the modulation bandwidth from 100 Hz to 600 Hz.
收起
摘要 :
In order to use the STAP in reverberation suppression, and compare the performances of STAP for underwater LFM with CW, the method of STAP used for LFM was proposed. Firstly, the principle of STAP for CW was analyzed, according to...
展开
In order to use the STAP in reverberation suppression, and compare the performances of STAP for underwater LFM with CW, the method of STAP used for LFM was proposed. Firstly, the principle of STAP for CW was analyzed, according to the underwater echo of CW. Then, the space-time steering vector of LFM is deduced by analysing the underwater echo of LFM. Finally, the performances of STAP for LFM and CW were compared by simulations. The results show that the proposed method of STAP for underwater LFM with narrower modulation bandwidth can achieve a better performance in target detection and estimate, and the processing gain of STAP for CW is higher than that of LFM form 1.6 dB to 5.5 dB with the modulation bandwidth from 100 Hz to 600 Hz.
收起
摘要 :
In order to use the STAP in reverberation suppression,and compare the performances of STAP for underwater LFM with CW,the method of STAP used for LFM was proposed.Firstly,the principle of STAP for CW was analyzed,according to the ...
展开
In order to use the STAP in reverberation suppression,and compare the performances of STAP for underwater LFM with CW,the method of STAP used for LFM was proposed.Firstly,the principle of STAP for CW was analyzed,according to the underwater echo of CW.Then,the space-time steering vector of LFM is deduced by analysing the underwater echo ofLFM.Fianlly,the performances of STAP for LFM and CW were compared by simulations.The results show that the proposed method of STAP for underwater LFM with narrower modulation bandwidth can achieve a better performance in target detection and estimate,and the processing gain of STAP for CW is higher than that of LFM form 1.6dB to 5.5dB with the modulation bandwidth from 100Hz to 600Hz.
收起
摘要 :
In order to use the STAP in reverberation suppression,and compare the performances of STAP for underwater LFM with CW,the method of STAP used for LFM was proposed.Firstly,the principle of STAP for CW was analyzed,according to the ...
展开
In order to use the STAP in reverberation suppression,and compare the performances of STAP for underwater LFM with CW,the method of STAP used for LFM was proposed.Firstly,the principle of STAP for CW was analyzed,according to the underwater echo of CW.Then,the space-time steering vector of LFM is deduced by analysing the underwater echo ofLFM.Fianlly,the performances of STAP for LFM and CW were compared by simulations.The results show that the proposed method of STAP for underwater LFM with narrower modulation bandwidth can achieve a better performance in target detection and estimate,and the processing gain of STAP for CW is higher than that of LFM form 1.6dB to 5.5dB with the modulation bandwidth from 100Hz to 600Hz.
收起
原文获取