Basis Construction for Range Estimation by Phase Unwrapping

We consider the problem of estimating the distance, or range, between two locations by measuring the phase of a sinusoidal signal transmitted between the locations. This method is only capable of unambiguously measuring range within an interval of length equal to the wavelength of the signal. To address this problem signals of multiple different wavelengths can be transmitted. The range can then be measured within an interval of length equal to the least common multiple of these wavelengths. Estimation of the range requires solution of a problem from computational number theory called the closest lattice point problem. Algorithms to solve this problem require a basis for this lattice. Constructing a basis is non-trivial and an explicit construction has only been given in the case that the wavelengths can be scaled to pairwise relatively prime integers. In this paper we present an explicit construction of a basis without this assumption on the wavelengths. This is important because the accuracy of the range estimator depends upon the wavelengths. Simulations indicate that significant improvement in accuracy can be achieved by using wavelengths that cannot be scaled to pairwise relatively prime integers.

[1]  Francis Seeley Foote,et al.  Surveying theory and practice , 1940 .

[2]  Hing-Cheung So,et al.  Linear Least Squares Approach for Accurate Received Signal Strength Based Source Localization , 2011, IEEE Trans. Signal Process..

[3]  Yuke Wang New Chinese remainder theorems , 1998, Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284).

[4]  Baocheng Zhang,et al.  Single-frequency integer ambiguity resolution enabled GPS precise point positioning , 2012 .

[5]  S. R. Jammalamadaka,et al.  Directional Statistics, I , 2011 .

[6]  Alexander Vardy,et al.  Closest point search in lattices , 2002, IEEE Trans. Inf. Theory.

[7]  David P Towers,et al.  Generalized frequency selection in multifrequency interferometry. , 2004, Optics letters.

[8]  J. Martinet Perfect Lattices in Euclidean Spaces , 2010 .

[9]  W. Marsden I and J , 2012 .

[10]  Xiang-Gen Xia,et al.  Multi-Stage Robust Chinese Remainder Theorem , 2013, IEEE Transactions on Signal Processing.

[11]  Xiang-Gen Xia,et al.  Phase detection based range estimation with a dual-band robust Chinese remainder theorem , 2013, Science China Information Sciences.

[12]  Daniele Micciancio,et al.  A Deterministic Single Exponential Time Algorithm for Most Lattice Problems based on Voronoi Cell Computations ( Extended Abstract ) , 2009 .

[13]  Daniele Micciancio,et al.  The hardness of the closest vector problem with preprocessing , 2001, IEEE Trans. Inf. Theory.

[14]  Elizabeth Ralston,et al.  Ambiguity Resolution in Interferometry , 1981, IEEE Transactions on Aerospace and Electronic Systems.

[15]  R. McKilliam Lattice theory, circular statistics and polynomial phase signals , 2010 .

[16]  Claus-Peter Schnorr,et al.  Lattice Basis Reduction: Improved Practical Algorithms and Solving Subset Sum Problems , 1991, FCT.

[17]  P. Teunissen The least-squares ambiguity decorrelation adjustment: a method for fast GPS integer ambiguity estimation , 1995 .

[18]  Xiang-Gen Xia,et al.  Location and Imaging of Elevated Moving Target using Multi-Frequency Velocity SAR with Cross-Track Interferometry , 2011, IEEE Transactions on Aerospace and Electronic Systems.

[19]  Zhi Ding,et al.  Distance Estimation From Received Signal Strength Under Log-Normal Shadowing: Bias and Variance , 2008, IEEE Signal Processing Letters.

[20]  I. Vaughan L. Clarkson,et al.  Linear-Time Nearest Point Algorithms for Coxeter Lattices , 2009, IEEE Transactions on Information Theory.

[21]  Michael E. Pohst,et al.  A Modification of the LLL Reduction Algorithm , 1987, J. Symb. Comput..

[22]  Kevin Barraclough,et al.  I and i , 2001, BMJ : British Medical Journal.

[23]  Oystein Ore,et al.  The General Chinese Remainder Theorem , 1952 .

[24]  Kejing Liu,et al.  A generalized Chinese remainder theorem for residue sets with errors and its application in frequency determination from multiple sensors with low sampling rates , 2005, IEEE Signal Processing Letters.

[25]  S Lanzisera,et al.  Radio Frequency Time-of-Flight Distance Measurement for Low-Cost Wireless Sensor Localization , 2011, IEEE Sensors Journal.

[26]  I. Vaughan L. Clarkson,et al.  Direction Estimation by Minimum Squared Arc Length , 2012, IEEE Transactions on Signal Processing.

[27]  Alex J. Grant,et al.  Finding a Closest Point in a Lattice of Voronoi's First Kind , 2014, SIAM J. Discret. Math..

[28]  Ravi Kannan,et al.  Minkowski's Convex Body Theorem and Integer Programming , 1987, Math. Oper. Res..

[29]  Peter Teunissen,et al.  The Lambda Method for the GNSS Compass , 2006 .

[30]  Kaveh Pahlavan,et al.  Super-resolution TOA estimation with diversity for indoor geolocation , 2004, IEEE Transactions on Wireless Communications.

[31]  I. Vaughan L. Clarkson,et al.  Frequency Estimation by Phase Unwrapping , 2010, IEEE Transactions on Signal Processing.

[32]  Dana Ron,et al.  Chinese remaindering with errors , 1999, STOC '99.

[33]  László Babai,et al.  On Lovász’ lattice reduction and the nearest lattice point problem , 1986, Comb..

[34]  N. Fisher,et al.  Statistical Analysis of Circular Data , 1993 .

[35]  P. Sprent,et al.  Statistical Analysis of Circular Data. , 1994 .

[36]  Claus-Peter Schnorr,et al.  Lattice basis reduction: Improved practical algorithms and solving subset sum problems , 1991, FCT.

[37]  J. Jones,et al.  Optimum frequency selection in multifrequency interferometry. , 2003, Optics letters.

[38]  Stephen P. Boyd,et al.  Integer parameter estimation in linear models with applications to GPS , 1998, IEEE Trans. Signal Process..

[39]  Konstantinos Falaggis,et al.  Method of excess fractions with application to absolute distance metrology: analytical solution. , 2013, Applied optics.

[40]  Xiang-Gen Xia,et al.  A Closed-Form Robust Chinese Remainder Theorem and Its Performance Analysis , 2010, IEEE Transactions on Signal Processing.

[41]  Emanuele Viterbo,et al.  A universal lattice code decoder for fading channels , 1999, IEEE Trans. Inf. Theory.

[42]  H Leung,et al.  Detection, Location, and Imaging of Fast Moving Targets Using Multifrequency Antenna Array SAR , 2001 .

[43]  Xiang-Gen Xia,et al.  A Robust Chinese Remainder Theorem With Its Applications in Frequency Estimation From Undersampled Waveforms , 2009, IEEE Transactions on Signal Processing.

[44]  Xinmin Wang,et al.  Distance Estimation Using Wrapped Phase Measurements in Noise , 2013, IEEE Transactions on Signal Processing.

[45]  Xiang-Gen Xia,et al.  Phase Unwrapping and A Robust Chinese Remainder Theorem , 2007, IEEE Signal Processing Letters.

[46]  Björn E. Ottersten,et al.  On the complexity of sphere decoding in digital communications , 2005, IEEE Transactions on Signal Processing.

[47]  Nicholas I. Fisher,et al.  Statistical Analysis of Circular Data , 1993 .

[48]  I. Vaughan L. Clarkson,et al.  Polynomial Phase Estimation by Least Squares Phase Unwrapping , 2014, IEEE Trans. Signal Process..

[49]  Xiang-Gen Xia,et al.  A Fast Robust Chinese Remainder Theorem Based Phase Unwrapping Algorithm , 2008, IEEE Signal Processing Letters.

[50]  Aaas News,et al.  Book Reviews , 1893, Buffalo Medical and Surgical Journal.