Mismatch filter design via convex optimization

Mismatch filters are generally used to reduce the range sidelobes when phase-coded waveforms are used. It is shown that such mismatch filters can be designed with convex optimization techniques by formulating the problem as a second-order cone programming problem. It is also shown that it is possible to make trade-offs between peak sidelobe levels and losses in the main peak gain.

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