Until recently

TCAR (Three-Carrier Ambiguity Resolution)

CIR (Cascading Integer Resolution) and LAMBDA (Least-squares Ambiguity Decorrelation Adjustment) are the wildly used method for integer ambiguity resolution. TCAR and CIR

both taking advantages of the wide-lane combination which is easier to fix the integer ambiguity

and the narrow-lane combination which can reduce the noise more efficiently

are currently used as two common integer ambiguity resolutions. However

either TCAR or CIR performs a lower probability of resolution success in comparison with LAMBDA

even requires a pre-set admissible ambiguity transformation. To deal with this problem

a method based on a combination of wide and narrow lane LAMBDA integer ambiguity resolution

in terms of Beidou differential positioning problem

is proposed. On the basis of LAMBDA

this method employs the advantages of both the wide-lane combination and the narrow-lane combination. In this method

the integer ambiguity of narrow-lane combination is constrained by using the wide-lane combinations

which conducts a fast integer ambiguity resolution

while a high accuracy positioning is obtained by using the narrow combination

which suffers low noisy affect. The performance of the method was evaluated in a test site on the roof of Beihang University using tri-frequency data from BeiDou. The result shows that this method can achieve a 3 mm positioning accuracy at a shorter convergence time when compared with the convergence time of narrow-lane combination.