Receiver/transmitter configuration optimization for compressed computational millimeter-wave imaging

Millimeter wave (mmw) imaging is gaining popularity in surveillance systems as it provides good tradeoff between high resolution (optical/IR imaging) and high penetration depth (microwave). Conventional mmw Fourier transform based holographic imaging systems (D.M. Sheen et. al., MTT, IEEE Transactions on, vol.49, no.9, Sep 2001) require as many measurements as the required space-bandwidth product (M) of the target image. However, in compressed imaging systems (Guy Lipworth et. al., JOSA A, Vol. 30, Issue 8, 2013), apriori knowledge of the target object to be imaged can considerably reduce the number of measurements required. General priors such as sparsity can almost always be used, but more target specific priors can be used for further reducing the number of measurements needed.