A coherent process for the acquiring and tracking of time varying signals includes receiving a time varying signal, sampling the received time varying signal, processing received data samples of the time varying signal using a global optimization method and processing received data samples of the time varying signal using a local optimization method.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A coherent process for the acquiring and tracking of time varying signals comprising: receiving a time varying signal; sampling the received time varying signal; processing received data samples of the time varying signal using a global optimization method; and processing received data samples of the time varying signal using a local optimization method. 2. The method of claim 1, wherein processing of the received data samples using the global optimization method and processing of the received data samples using the local optimization method occurs simultaneously. 3. The method of claim 1, wherein processing of the received data samples using the global optimization method comprises processing the received data samples using a genetic algorithm and processing of the received data samples using the local optimization method comprises processing the received data samples using an Amoeba algorithm. 4. The method of claim 1, wherein processing of the received data samples using the global optimization method comprises processing the received data samples using a simulated annealing algorithm and processing of the received data samples using the local optimization method comprises processing the received data samples using a Nelder-Mead method. 5. The method of claim 1, further comprising processing the received data samples using a Simplex algorithm. 6. The method of claim 1, further comprising processing the received data samples using a Complex algorithm. 7. The method of claim 1, wherein the time varying signal is transmitted using a multiple access technique, wherein the multiple access technique comprises at least one of CDMA, FDMA, and TDMA. 8. The method of claim 1, wherein the method is applied in satellite radio navigation, communication systems, RADAR, acoustics, optical transmission. 9. The method of claim 1, further comprising coherently tracking the time varying signal, and wherein coherent tracking comprises using genetic algorithms for both code signal phase and carrier signal phase. 10. The method of claim 2, wherein the genetic algorithm utilizes an expanded non-binary set of independent components, wherein the non-binary set of independent components comprises velocity, acceleration, code offset, carrier offset, data bits and data bit time offset. 11. The method of claim 10, wherein the genetic algorithm and are followed with a local optimization algorithm for state vector propagation. 12. A method for improving the length of coherent integration time comprising applying multi-frequency and multi-segment optimized code sections. 13. The method of claim 12, further comprising applying global optimization methods to create an initial set of optimal code segments. 14. The method of claim 12, further comprising applying local optimization methods to optimize a maximal magnitude phase trajectory for each of a plurality of multiple segments of time, wherein each of the plurality of multiple segments of time are optimized with independent carrier/code frequencies and rates to resolve clock and dynamic instabilities. 15. The method of claim 14, further comprising using a global optimization method to optimize code segments and using local optimization methods to create a maximal magnitude phase trajectory using multi-segments of time, wherein the global optimization method is a genetic algorithm. 16. The method in accordance with claim 15, wherein each time segment comprises independent carrier/code frequencies and rates to resolve clock and dynamic instabilities. 17. (canceled) 18. A method of combining global optimization and local optimization, the method comprising: determining a global optimization solution with a genetic algorithm utilizing a general population composed of sets of three multi-segmented parent vector states; determining discontinuities and performing local optimization on those wining and sorted selections; and selecting a third parent in a next generation multi-segmented vector set using a local optimization algorithm. 19. (canceled) 20. (canceled) 21. (canceled)