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Locally optimum (LO) detector is an appropriate technique for removing strong interference signals because its performance asymptotically approaches the global optimum as the signal amplitude goes to zero. However, deriving a LO detector with memory is often practically impossible due to the need to deal with multi-variate probability density functions (pdf). Assuming Markovian structure for the interference...
The problem of designing a locally optimum (LO) detector to remove autoregressive interference from spread spectrum system is considered. The interference is modeled as pth order autoregressive process (AR(p)). Expressions for output signal-to-interference ratio (SIR) are derived in terms of model parameters and verified by comparing with simulation results. The performance of this technique is compared...
The problem of designing a locally optimum (LO) detector to remove narrowband interference from spread spectrum signal is considered here. The interference is modeled as pth order autoregressive (AR(p)) process. A new exact expression is derived for the AR(l) model signal-to-interference ratio (SIR) whereas for the general AR(p) case, an approximate expression for the SIR is presented. Simulation...
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