Data compression via pulse-to-pulse redundancy for radar emitter location

Mark L. Fowler; Zhen Zhou

doi:10.1117/12.449572

5 December 2001 Data compression via pulse-to-pulse redundancy for radar emitter location

Mark L. Fowler, Zhen Zhou

Proceedings Volume 4475, Mathematics of Data/Image Coding, Compression, and Encryption IV, with Applications; (2001) https://doi.org/10.1117/12.449572
Event: International Symposium on Optical Science and Technology, 2001, San Diego, CA, United States

Abstract

An effective method for geolocation of a radar emitter is to intercept its signal at multiple platforms and share the data to allow measurement of the time-difference-of-arrival (TDOA) and the frequency-difference-of-arrival (FDOA). This requires effective data compression. For radar location we show that it is possible to exploit pulse-to-pulse redundancy. A compression method is developed that exploits the singular value decomposition (SVD) to compress the intercepted radar pulse train. This method consists of five steps: (i) pulse gating, (ii) pulse alignment, (iii) matrix formation, (iv) SVD-based rank reduction, and (v) encoding. Matrix formation places aligned pulses into rows to form a matrix that has rank close to one and SVD truncation gives a low rank approximate matrix. We show that (i) compression is maximized if the matrix is made to have two-thirds as many rows as columns and (ii) truncation to a rank-one matrix is feasible. We interpret this as extracting a prototype pulse trainlet. The maximum compression ratio is expressed in terms of the number of pulses and the number of samples per pulse and point out a particularly interesting and important characteristic - the compression ratio increases as the total number of signal samples increases. Theoretical and simulation results show that this approach provides a compression ratio up to about 30:1 in practical signal scenarios.

Citation Download Citation

Mark L. Fowler and Zhen Zhou "Data compression via pulse-to-pulse redundancy for radar emitter location", Proc. SPIE 4475, Mathematics of Data/Image Coding, Compression, and Encryption IV, with Applications, (5 December 2001); https://doi.org/10.1117/12.449572

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