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- W2036601762 abstract "In active sonar, system performance can be limited by reverberation noise that is signal related and nonwhite. Therefore, when attempting to optimize system performance, one is confronted with the task of optimizing signal design. The signal design approach taken in this paper is a structured one in the sense that the receiver is assumed to be a matched (rather than optimum) detector, and the admissible signals are required to be composed of weighted sums of harmonically related sinusoids. The requirement arises quite naturally out of a representation of the reverberation noise spectrum in terms of the signal spectrum. This representation enables us to state the signal design problem as one of minimizing a quadratic form (proportional to the matched filter output variance) under certain signal energy and time-bandwidth constraints. The actual minimization problem is a nonlinear programming problem with linear and nonlinear constraints. Results of a steepest descent computer algorithm for solving the problem are presented for example detection problems. Some examples show as much as 3-dB improvement over a detector that merely uses CW signals. The direction of future work to solve signal design problems for optimum filters using the same approach is indicated." @default.
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- W2036601762 date "1972-01-01" @default.
- W2036601762 modified "2023-10-17" @default.
- W2036601762 title "Signal Design for Reverberant Acoustic Channels" @default.
- W2036601762 doi "https://doi.org/10.1121/1.1981428" @default.
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