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In this paper, a bi-objective nonlinear mixed integer model is proposed for relief supply location in post-disaster environment. The bi-objective model tries to minimize the total cost of the system, and is focused on maximizing the satisfaction levels of the affected areas through minimizing the sum of the maximum shortages in the affected areas at each period. We utilize the Reservation Level driven Tchebycheff Procedure as the solution method for finding non-dominated solutions. The model is validated by examining a case study and obtained results indicate that the proposed model can help to make decisions on both facility location and relief logistics in post-disaster situations.

A novel approach based on digital linear frequency modulation (LFM) with anti-aliasing system for adjustable compensation of the active filter frequency response has been proposed to implement high speed pulse compression on Field Programmable Gate Array (FPGA) chip. The main objectives are high speed pulse compression for high range resolution in target detection using modified Fast Fourier Transformation (FFT) input/output (I/O) data flow algorithm and innovative anti-aliasing system. Both simulation and implementation results indicate a significant compensation in the anti-aliasing filter response. The modified FFT method eliminates the drawbacks for implementation of pulse compression in previous works.